✔️Download Durbin Watson (PDF) Lengkap✔️ Cara Membaca tabel Durbin Watson dan Contoh soal uji autokorelasi dengan tabel DW✔️
Dalam ilmu statistika salah satu asumsi klasik analisis regresi bisa diketahui melalui autokorelasi residual yang bisa diamati melalui uji hipotesis dengan tabel Durbin Watson. Autokorelasi sendiri merupakan korelasi antar observasi yang diusur berdasarkan waktu.
Umumnya, autokorelasi terjadi pada data runtun waktu atau time series, dimana pada data cross sectional (tidak runtun waktu) autokorelasi tidak relevan. Selain itu, terdapat 2 jenis autokorelasi yaitu positif serta negatif.
Di dalam uji autokorelasi ini, digunakan tabel pembanding bernama Durbin Watson. Berikut ini pembahasan rinci terkait pengertian, fungsi, rumus, cara membaca, hingga contoh soal autokorelasi dengan menggunakan tabel Durbin Watson.
Pengertian Tabel Durbin Watson
Dalam ilmu statistika, tabel durbin watson adalah suatu tabel pembanding yang digunakan dalam uji deteksi autokorelasi. Di ilmu statistik sendiri, uji Durbin Watson merupakan sebuah tes untuk mendeteksi terjadinya autokorelasi pada nilai residual dari sebuah analisis regresi.
Artinya, uji ini berfungsi mendeteksi adanya prediction error dari analisis regresi. Adapun autokorelasi sendidi secara sederhana berarti hubungan antara nilai-nilai yang dipisahkan satu sama lain dengan jeda waktu tertentu.
Metode uji ini diberni nama Durbin Watson sebab dikemukakan oleh James Durbin dan Geoffrey Watson. Dalam pengujian ini, nilainya akan selalu berada pada range antara 0 sampai 4.
Dimana nilai 2,0 menunjukkan tidak terdeteksi autokorelasi dalam sampel dan nilai 0 hingga kurang dari 2 menunjukkan autokorelasi positif. Adapun nilai 2 sampai 4 mengidentifikasikan adanya autokorelasi negatif.
Dalam statistika, uji ini dilakukan dengan tujuan untuk melihat apakah ada korelasi antara satu periode analisa dengan periode sebelumnya. Secara sederhana yaitu dimaksudkan untuk melihat ada atau tidaknya pengaruh antara variabel bebas data dengan variabel terikatnya.
Download Tabel Durbin Watson (pdf)
Tabel Durbin Watson adalah suatu tabel pembanding yang digunakan dalam uji deteksi autokorelasi pada nilai residual dari sebuah analisis regresi. Adapun untuk mengunduh tabel Durbin Watson secara LENGKAP, bisa diperoleh melalui tautan berikut: 
Namun jika anda tidak ingin menyimpan file nya, dan hanya sebatas mempelajarinya saja, anda bisa langsung melihatnya melalui ulasan tabel dibawah ini.
Adapun tabel durbin watson berikut merupakan tabel DW dengan alpha (α) = 5%. Dimana Simbol ‘k’ merupakan banyaknya variabel bebas (tidak termasuk variabel terikat), dan Simbol ‘n’ merupakan banyaknya observasi.
- Tabel Durbin Watson dengan Tingkat Signifikansi (α) = 5% dan Variabel Bebas (K = 1 – 5)
| k=1 | k=2 | k=3 | k=4 | k=5 | ||||||
| n | dL | dU | dL | dU | dL | dU | dL | dU | dL | dU |
| 6 | 0.6102 | 1.4002 | ||||||||
| 7 | 0.6996 | 1.3564 | 0.4672 | 1.8964 | ||||||
| 8 | 0.7629 | 1.3324 | 0.5591 | 1.7771 | 0.3674 | 2.2866 | ||||
| 9 | 0.8243 | 1.3199 | 0.6291 | 1.6993 | 0.4548 | 2.1282 | 0.2957 | 2.5881 | ||
| 10 | 0.8791 | 1.3197 | 0.6972 | 1.6413 | 0.5253 | 2.0163 | 0.3760 | 2.4137 | 0.2427 | 2.8217 |
| 11 | 0.9273 | 1.3241 | 0.7580 | 1.6044 | 0.5948 | 1.9280 | 0.4441 | 2.2833 | 0.3155 | 2.6446 |
| 12 | 0.9708 | 1.3314 | 0.8122 | 1.5794 | 0.6577 | 1.8640 | 0.5120 | 2.1766 | 0.3796 | 2.5061 |
| 13 | 1.0097 | 1.3404 | 0.8612 | 1.5621 | 0.7147 | 1.8159 | 0.5745 | 2.0943 | 0.4445 | 2.3897 |
| 14 | 1.0450 | 1.3503 | 0.9054 | 1.5507 | 0.7667 | 1.7788 | 0.6321 | 2.0296 | 0.5052 | 2.2959 |
| 15 | 1.0770 | 1.3605 | 0.9455 | 1.5432 | 0.8140 | 1.7501 | 0.6852 | 1.9774 | 0.5620 | 2.2198 |
| 16 | 1.1062 | 1.3709 | 0.9820 | 1.5386 | 0.8572 | 1.7277 | 0.7340 | 1.9351 | 0.6150 | 2.1567 |
| 17 | 1.1330 | 1.3812 | 1.0154 | 1.5361 | 0.8968 | 1.7101 | 0.7790 | 1.9005 | 0.6641 | 2.1041 |
| 18 | 1.1576 | 1.3913 | 1.0461 | 1.5353 | 0.9331 | 1.6961 | 0.8204 | 1.8719 | 0.7098 | 2.0600 |
| 19 | 1.1804 | 1.4012 | 1.0743 | 1.5355 | 0.9666 | 1.6851 | 0.8588 | 1.8482 | 0.7523 | 2.0226 |
| 20 | 1.2015 | 1.4107 | 1.1004 | 1.5367 | 0.9976 | 1.6763 | 0.8943 | 1.8283 | 0.7918 | 1.9908 |
| 21 | 1.2212 | 1.4200 | 1.1246 | 1.5385 | 1.0262 | 1.6694 | 0.9272 | 1.8116 | 0.8286 | 1.9635 |
| 22 | 1.2395 | 1.4289 | 1.1471 | 1.5408 | 1.0529 | 1.6640 | 0.9578 | 1.7974 | 0.8629 | 1.9400 |
| 23 | 1.2567 | 1.4375 | 1.1682 | 1.5435 | 1.0778 | 1.6597 | 0.9864 | 1.7855 | 0.8949 | 1.9196 |
| 24 | 1.2728 | 1.4458 | 1.1878 | 1.5464 | 1.1010 | 1.6565 | 1.0131 | 1.7753 | 0.9249 | 1.9018 |
| 25 | 1.2879 | 1.4537 | 1.2063 | 1.5495 | 1.1228 | 1.6540 | 1.0381 | 1.7666 | 0.9530 | 1.8863 |
| 26 | 1.3022 | 1.4614 | 1.2236 | 1.5528 | 1.1432 | 1.6523 | 1.0616 | 1.7591 | 0.9794 | 1.8727 |
| 27 | 1.3157 | 1.4688 | 1.2399 | 1.5562 | 1.1624 | 1.6510 | 1.0836 | 1.7527 | 1.0042 | 1.8608 |
| 28 | 1.3284 | 1.4759 | 1.2553 | 1.5596 | 1.1805 | 1.6503 | 1.1044 | 1.7473 | 1.0276 | 1.8502 |
| 29 | 1.3405 | 1.4828 | 1.2699 | 1.5631 | 1.1976 | 1.6499 | 1.1241 | 1.7426 | 1.0497 | 1.8409 |
| 30 | 1.3520 | 1.4894 | 1.2837 | 1.5666 | 1.2138 | 1.6498 | 1.1426 | 1.7386 | 1.0706 | 1.8326 |
| 31 | 1.3630 | 1.4957 | 1.2969 | 1.5701 | 1.2292 | 1.6500 | 1.1602 | 1.7352 | 1.0904 | 1.8252 |
| 32 | 1.3734 | 1.5019 | 1.3093 | 1.5736 | 1.2437 | 1.6505 | 1.1769 | 1.7323 | 1.1092 | 1.8187 |
| 33 | 1.3834 | 1.5078 | 1.3212 | 1.5770 | 1.2576 | 1.6511 | 1.1927 | 1.7298 | 1.1270 | 1.8128 |
| 34 | 1.3929 | 1.5136 | 1.3325 | 1.5805 | 1.2707 | 1.6519 | 1.2078 | 1.7277 | 1.1439 | 1.8076 |
| 35 | 1.4019 | 1.5191 | 1.3433 | 1.5838 | 1.2833 | 1.6528 | 1.2221 | 1.7259 | 1.1601 | 1.8029 |
| 36 | 1.4107 | 1.5245 | 1.3537 | 1.5872 | 1.2953 | 1.6539 | 1.2358 | 1.7245 | 1.1755 | 1.7987 |
| 37 | 1.4190 | 1.5297 | 1.3635 | 1.5904 | 1.3068 | 1.6550 | 1.2489 | 1.7233 | 1.1901 | 1.7950 |
| 38 | 1.4270 | 1.5348 | 1.3730 | 1.5937 | 1.3177 | 1.6563 | 1.2614 | 1.7223 | 1.2042 | 1.7916 |
| 39 | 1.4347 | 1.5396 | 1.3821 | 1.5969 | 1.3283 | 1.6575 | 1.2734 | 1.7215 | 1.2176 | 1.7886 |
| 40 | 1.4421 | 1.5444 | 1.3908 | 1.6000 | 1.3384 | 1.6589 | 1.2848 | 1.7209 | 1.2305 | 1.7859 |
| 41 | 1.4493 | 1.5490 | 1.3992 | 1.6031 | 1.3480 | 1.6603 | 1.2958 | 1.7205 | 1.2428 | 1.7835 |
| 42 | 1.4562 | 1.5534 | 1.4073 | 1.6061 | 1.3573 | 1.6617 | 1.3064 | 1.7202 | 1.2546 | 1.7814 |
| 43 | 1.4628 | 1.5577 | 1.4151 | 1.6091 | 1.3663 | 1.6632 | 1.3166 | 1.7200 | 1.2660 | 1.7794 |
| 44 | 1.4692 | 1.5619 | 1.4226 | 1.6120 | 1.3749 | 1.6647 | 1.3263 | 1.7200 | 1.2769 | 1.7777 |
| 45 | 1.4754 | 1.5660 | 1.4298 | 1.6148 | 1.3832 | 1.6662 | 1.3357 | 1.7200 | 1.2874 | 1.7762 |
| 46 | 1.4814 | 1.5700 | 1.4368 | 1.6176 | 1.3912 | 1.6677 | 1.3448 | 1.7201 | 1.2976 | 1.7748 |
| 47 | 1.4872 | 1.5739 | 1.4435 | 1.6204 | 1.3989 | 1.6692 | 1.3535 | 1.7203 | 1.3073 | 1.7736 |
| 48 | 1.4928 | 1.5776 | 1.4500 | 1.6231 | 1.4064 | 1.6708 | 1.3619 | 1.7206 | 1.3167 | 1.7725 |
| 49 | 1.4982 | 1.5813 | 1.4564 | 1.6257 | 1.4136 | 1.6723 | 1.3701 | 1.7210 | 1.3258 | 1.7716 |
| 50 | 1.5035 | 1.5849 | 1.4625 | 1.6283 | 1.4206 | 1.6739 | 1.3779 | 1.7214 | 1.3346 | 1.7708 |
| 51 | 1.5086 | 1.5884 | 1.4684 | 1.6309 | 1.4273 | 1.6754 | 1.3855 | 1.7218 | 1.3431 | 1.7701 |
| 52 | 1.5135 | 1.5917 | 1.4741 | 1.6334 | 1.4339 | 1.6769 | 1.3929 | 1.7223 | 1.3512 | 1.7694 |
| 53 | 1.5183 | 1.5951 | 1.4797 | 1.6359 | 1.4402 | 1.6785 | 1.4000 | 1.7228 | 1.3592 | 1.7689 |
| 54 | 1.5230 | 1.5983 | 1.4851 | 1.6383 | 1.4464 | 1.6800 | 1.4069 | 1.7234 | 1.3669 | 1.7684 |
| 55 | 1.5276 | 1.6014 | 1.4903 | 1.6406 | 1.4523 | 1.6815 | 1.4136 | 1.7240 | 1.3743 | 1.7681 |
| 56 | 1.5320 | 1.6045 | 1.4954 | 1.6430 | 1.4581 | 1.6830 | 1.4201 | 1.7246 | 1.3815 | 1.7678 |
| 57 | 1.5363 | 1.6075 | 1.5004 | 1.6452 | 1.4637 | 1.6845 | 1.4264 | 1.7253 | 1.3885 | 1.7675 |
| 58 | 1.5405 | 1.6105 | 1.5052 | 1.6475 | 1.4692 | 1.6860 | 1.4325 | 1.7259 | 1.3953 | 1.7673 |
| 59 | 1.5446 | 1.6134 | 1.5099 | 1.6497 | 1.4745 | 1.6875 | 1.4385 | 1.7266 | 1.4019 | 1.7672 |
| 60 | 1.5485 | 1.6162 | 1.5144 | 1.6518 | 1.4797 | 1.6889 | 1.4443 | 1.7274 | 1.4083 | 1.7671 |
| 61 | 1.5524 | 1.6189 | 1.5189 | 1.6540 | 1.4847 | 1.6904 | 1.4499 | 1.7281 | 1.4146 | 1.7671 |
| 62 | 1.5562 | 1.6216 | 1.5232 | 1.6561 | 1.4896 | 1.6918 | 1.4554 | 1.7288 | 1.4206 | 1.7671 |
| 63 | 1.5599 | 1.6243 | 1.5274 | 1.6581 | 1.4943 | 1.6932 | 1.4607 | 1.7296 | 1.4265 | 1.7671 |
| 64 | 1.5635 | 1.6268 | 1.5315 | 1.6601 | 1.4990 | 1.6946 | 1.4659 | 1.7303 | 1.4322 | 1.7672 |
| 65 | 1.5670 | 1.6294 | 1.5355 | 1.6621 | 1.5035 | 1.6960 | 1.4709 | 1.7311 | 1.4378 | 1.7673 |
| 66 | 1.5704 | 1.6318 | 1.5395 | 1.6640 | 1.5079 | 1.6974 | 1.4758 | 1.7319 | 1.4433 | 1.7675 |
| 67 | 1.5738 | 1.6343 | 1.5433 | 1.6660 | 1.5122 | 1.6988 | 1.4806 | 1.7327 | 1.4486 | 1.7676 |
| 68 | 1.5771 | 1.6367 | 1.5470 | 1.6678 | 1.5164 | 1.7001 | 1.4853 | 1.7335 | 1.4537 | 1.7678 |
| 69 | 1.5803 | 1.6390 | 1.5507 | 1.6697 | 1.5205 | 1.7015 | 1.4899 | 1.7343 | 1.4588 | 1.7680 |
| 70 | 1.5834 | 1.6413 | 1.5542 | 1.6715 | 1.5245 | 1.7028 | 1.4943 | 1.7351 | 1.4637 | 1.7683 |
| 71 | 1.5865 | 1.6435 | 1.5577 | 1.6733 | 1.5284 | 1.7041 | 1.4987 | 1.7358 | 1.4685 | 1.7685 |
| 72 | 1.5895 | 1.6457 | 1.5611 | 1.6751 | 1.5323 | 1.7054 | 1.5029 | 1.7366 | 1.4732 | 1.7688 |
| 73 | 1.5924 | 1.6479 | 1.5645 | 1.6768 | 1.5360 | 1.7067 | 1.5071 | 1.7375 | 1.4778 | 1.7691 |
| 74 | 1.5953 | 1.6500 | 1.5677 | 1.6785 | 1.5397 | 1.7079 | 1.5112 | 1.7383 | 1.4822 | 1.7694 |
| 75 | 1.5981 | 1.6521 | 1.5709 | 1.6802 | 1.5432 | 1.7092 | 1.5151 | 1.7390 | 1.4866 | 1.7698 |
| 76 | 1.6009 | 1.6541 | 1.5740 | 1.6819 | 1.5467 | 1.7104 | 1.5190 | 1.7399 | 1.4909 | 1.7701 |
| 77 | 1.6036 | 1.6561 | 1.5771 | 1.6835 | 1.5502 | 1.7117 | 1.5228 | 1.7407 | 1.4950 | 1.7704 |
| 78 | 1.6063 | 1.6581 | 1.5801 | 1.6851 | 1.5535 | 1.7129 | 1.5265 | 1.7415 | 1.4991 | 1.7708 |
| 79 | 1.6089 | 1.6601 | 1.5830 | 1.6867 | 1.5568 | 1.7141 | 1.5302 | 1.7423 | 1.5031 | 1.7712 |
| 80 | 1.6114 | 1.6620 | 1.5859 | 1.6882 | 1.5600 | 1.7153 | 1.5337 | 1.7430 | 1.5070 | 1.7716 |
| 81 | 1.6139 | 1.6639 | 1.5888 | 1.6898 | 1.5632 | 1.7164 | 1.5372 | 1.7438 | 1.5109 | 1.7720 |
| 82 | 1.6164 | 1.6657 | 1.5915 | 1.6913 | 1.5663 | 1.7176 | 1.5406 | 1.7446 | 1.5146 | 1.7724 |
| 83 | 1.6188 | 1.6675 | 1.5942 | 1.6928 | 1.5693 | 1.7187 | 1.5440 | 1.7454 | 1.5183 | 1.7728 |
| 84 | 1.6212 | 1.6693 | 1.5969 | 1.6942 | 1.5723 | 1.7199 | 1.5472 | 1.7462 | 1.5219 | 1.7732 |
| 85 | 1.6235 | 1.6711 | 1.5995 | 1.6957 | 1.5752 | 1.7210 | 1.5505 | 1.7470 | 1.5254 | 1.7736 |
| 86 | 1.6258 | 1.6728 | 1.6021 | 1.6971 | 1.5780 | 1.7221 | 1.5536 | 1.7478 | 1.5289 | 1.7740 |
| 87 | 1.6280 | 1.6745 | 1.6046 | 1.6985 | 1.5808 | 1.7232 | 1.5567 | 1.7485 | 1.5322 | 1.7745 |
| 88 | 1.6302 | 1.6762 | 1.6071 | 1.6999 | 1.5836 | 1.7243 | 1.5597 | 1.7493 | 1.5356 | 1.7749 |
| 89 | 1.6324 | 1.6778 | 1.6095 | 1.7013 | 1.5863 | 1.7254 | 1.5627 | 1.7501 | 1.5388 | 1.7754 |
| 90 | 1.6345 | 1.6794 | 1.6119 | 1.7026 | 1.5889 | 1.7264 | 1.5656 | 1.7508 | 1.5420 | 1.7758 |
| 91 | 1.6366 | 1.6810 | 1.6143 | 1.7040 | 1.5915 | 1.7275 | 1.5685 | 1.7516 | 1.5452 | 1.7763 |
| 92 | 1.6387 | 1.6826 | 1.6166 | 1.7053 | 1.5941 | 1.7285 | 1.5713 | 1.7523 | 1.5482 | 1.7767 |
| 93 | 1.6407 | 1.6841 | 1.6188 | 1.7066 | 1.5966 | 1.7295 | 1.5741 | 1.7531 | 1.5513 | 1.7772 |
| 94 | 1.6427 | 1.6857 | 1.6211 | 1.7078 | 1.5991 | 1.7306 | 1.5768 | 1.7538 | 1.5542 | 1.7776 |
| 95 | 1.6447 | 1.6872 | 1.6233 | 1.7091 | 1.6015 | 1.7316 | 1.5795 | 1.7546 | 1.5572 | 1.7781 |
| 96 | 1.6466 | 1.6887 | 1.6254 | 1.7103 | 1.6039 | 1.7326 | 1.5821 | 1.7553 | 1.5600 | 1.7785 |
| 97 | 1.6485 | 1.6901 | 1.6275 | 1.7116 | 1.6063 | 1.7335 | 1.5847 | 1.7560 | 1.5628 | 1.7790 |
| 98 | 1.6504 | 1.6916 | 1.6296 | 1.7128 | 1.6086 | 1.7345 | 1.5872 | 1.7567 | 1.5656 | 1.7795 |
| 99 | 1.6522 | 1.6930 | 1.6317 | 1.7140 | 1.6108 | 1.7355 | 1.5897 | 1.7575 | 1.5683 | 1.7799 |
| 100 | 1.6540 | 1.6944 | 1.6337 | 1.7152 | 1.6131 | 1.7364 | 1.5922 | 1.7582 | 1.5710 | 1.7804 |
| 101 | 1.6558 | 1.6958 | 1.6357 | 1.7163 | 1.6153 | 1.7374 | 1.5946 | 1.7589 | 1.5736 | 1.7809 |
| 102 | 1.6576 | 1.6971 | 1.6376 | 1.7175 | 1.6174 | 1.7383 | 1.5969 | 1.7596 | 1.5762 | 1.7813 |
| 103 | 1.6593 | 1.6985 | 1.6396 | 1.7186 | 1.6196 | 1.7392 | 1.5993 | 1.7603 | 1.5788 | 1.7818 |
| 104 | 1.6610 | 1.6998 | 1.6415 | 1.7198 | 1.6217 | 1.7402 | 1.6016 | 1.7610 | 1.5813 | 1.7823 |
| 105 | 1.6627 | 1.7011 | 1.6433 | 1.7209 | 1.6237 | 1.7411 | 1.6038 | 1.7617 | 1.5837 | 1.7827 |
| 106 | 1.6644 | 1.7024 | 1.6452 | 1.7220 | 1.6258 | 1.7420 | 1.6061 | 1.7624 | 1.5861 | 1.7832 |
| 107 | 1.6660 | 1.7037 | 1.6470 | 1.7231 | 1.6277 | 1.7428 | 1.6083 | 1.7631 | 1.5885 | 1.7837 |
| 108 | 1.6676 | 1.7050 | 1.6488 | 1.7241 | 1.6297 | 1.7437 | 1.6104 | 1.7637 | 1.5909 | 1.7841 |
| 109 | 1.6692 | 1.7062 | 1.6505 | 1.7252 | 1.6317 | 1.7446 | 1.6125 | 1.7644 | 1.5932 | 1.7846 |
| 110 | 1.6708 | 1.7074 | 1.6523 | 1.7262 | 1.6336 | 1.7455 | 1.6146 | 1.7651 | 1.5955 | 1.7851 |
| 111 | 1.6723 | 1.7086 | 1.6540 | 1.7273 | 1.6355 | 1.7463 | 1.6167 | 1.7657 | 1.5977 | 1.7855 |
| 112 | 1.6738 | 1.7098 | 1.6557 | 1.7283 | 1.6373 | 1.7472 | 1.6187 | 1.7664 | 1.5999 | 1.7860 |
| 113 | 1.6753 | 1.7110 | 1.6574 | 1.7293 | 1.6391 | 1.7480 | 1.6207 | 1.7670 | 1.6021 | 1.7864 |
| 114 | 1.6768 | 1.7122 | 1.6590 | 1.7303 | 1.6410 | 1.7488 | 1.6227 | 1.7677 | 1.6042 | 1.7869 |
| 115 | 1.6783 | 1.7133 | 1.6606 | 1.7313 | 1.6427 | 1.7496 | 1.6246 | 1.7683 | 1.6063 | 1.7874 |
| 116 | 1.6797 | 1.7145 | 1.6622 | 1.7323 | 1.6445 | 1.7504 | 1.6265 | 1.7690 | 1.6084 | 1.7878 |
| 117 | 1.6812 | 1.7156 | 1.6638 | 1.7332 | 1.6462 | 1.7512 | 1.6284 | 1.7696 | 1.6105 | 1.7883 |
| 118 | 1.6826 | 1.7167 | 1.6653 | 1.7342 | 1.6479 | 1.7520 | 1.6303 | 1.7702 | 1.6125 | 1.7887 |
| 119 | 1.6839 | 1.7178 | 1.6669 | 1.7352 | 1.6496 | 1.7528 | 1.6321 | 1.7709 | 1.6145 | 1.7892 |
| 120 | 1.6853 | 1.7189 | 1.6684 | 1.7361 | 1.6513 | 1.7536 | 1.6339 | 1.7715 | 1.6164 | 1.7896 |
| 121 | 1.6867 | 1.7200 | 1.6699 | 1.7370 | 1.6529 | 1.7544 | 1.6357 | 1.7721 | 1.6184 | 1.7901 |
| 122 | 1.6880 | 1.7210 | 1.6714 | 1.7379 | 1.6545 | 1.7552 | 1.6375 | 1.7727 | 1.6203 | 1.7905 |
| 123 | 1.6893 | 1.7221 | 1.6728 | 1.7388 | 1.6561 | 1.7559 | 1.6392 | 1.7733 | 1.6222 | 1.7910 |
| 124 | 1.6906 | 1.7231 | 1.6743 | 1.7397 | 1.6577 | 1.7567 | 1.6409 | 1.7739 | 1.6240 | 1.7914 |
| 125 | 1.6919 | 1.7241 | 1.6757 | 1.7406 | 1.6592 | 1.7574 | 1.6426 | 1.7745 | 1.6258 | 1.7919 |
| 126 | 1.6932 | 1.7252 | 1.6771 | 1.7415 | 1.6608 | 1.7582 | 1.6443 | 1.7751 | 1.6276 | 1.7923 |
| 127 | 1.6944 | 1.7261 | 1.6785 | 1.7424 | 1.6623 | 1.7589 | 1.6460 | 1.7757 | 1.6294 | 1.7928 |
| 128 | 1.6957 | 1.7271 | 1.6798 | 1.7432 | 1.6638 | 1.7596 | 1.6476 | 1.7763 | 1.6312 | 1.7932 |
| 129 | 1.6969 | 1.7281 | 1.6812 | 1.7441 | 1.6653 | 1.7603 | 1.6492 | 1.7769 | 1.6329 | 1.7937 |
| 130 | 1.6981 | 1.7291 | 1.6825 | 1.7449 | 1.6667 | 1.7610 | 1.6508 | 1.7774 | 1.6346 | 1.7941 |
| 131 | 1.6993 | 1.7301 | 1.6838 | 1.7458 | 1.6682 | 1.7617 | 1.6523 | 1.7780 | 1.6363 | 1.7945 |
| 132 | 1.7005 | 1.7310 | 1.6851 | 1.7466 | 1.6696 | 1.7624 | 1.6539 | 1.7786 | 1.6380 | 1.7950 |
| 133 | 1.7017 | 1.7319 | 1.6864 | 1.7474 | 1.6710 | 1.7631 | 1.6554 | 1.7791 | 1.6397 | 1.7954 |
| 134 | 1.7028 | 1.7329 | 1.6877 | 1.7482 | 1.6724 | 1.7638 | 1.6569 | 1.7797 | 1.6413 | 1.7958 |
| 135 | 1.7040 | 1.7338 | 1.6889 | 1.7490 | 1.6738 | 1.7645 | 1.6584 | 1.7802 | 1.6429 | 1.7962 |
| 136 | 1.7051 | 1.7347 | 1.6902 | 1.7498 | 1.6751 | 1.7652 | 1.6599 | 1.7808 | 1.6445 | 1.7967 |
| 137 | 1.7062 | 1.7356 | 1.6914 | 1.7506 | 1.6765 | 1.7659 | 1.6613 | 1.7813 | 1.6461 | 1.7971 |
| 138 | 1.7073 | 1.7365 | 1.6926 | 1.7514 | 1.6778 | 1.7665 | 1.6628 | 1.7819 | 1.6476 | 1.7975 |
| 139 | 1.7084 | 1.7374 | 1.6938 | 1.7521 | 1.6791 | 1.7672 | 1.6642 | 1.7824 | 1.6491 | 1.7979 |
| 140 | 1.7095 | 1.7382 | 1.6950 | 1.7529 | 1.6804 | 1.7678 | 1.6656 | 1.7830 | 1.6507 | 1.7984 |
| 141 | 1.7106 | 1.7391 | 1.6962 | 1.7537 | 1.6817 | 1.7685 | 1.6670 | 1.7835 | 1.6522 | 1.7988 |
| 142 | 1.7116 | 1.7400 | 1.6974 | 1.7544 | 1.6829 | 1.7691 | 1.6684 | 1.7840 | 1.6536 | 1.7992 |
| 143 | 1.7127 | 1.7408 | 1.6985 | 1.7552 | 1.6842 | 1.7697 | 1.6697 | 1.7846 | 1.6551 | 1.7996 |
| 144 | 1.7137 | 1.7417 | 1.6996 | 1.7559 | 1.6854 | 1.7704 | 1.6710 | 1.7851 | 1.6565 | 1.8000 |
| 145 | 1.7147 | 1.7425 | 1.7008 | 1.7566 | 1.6866 | 1.7710 | 1.6724 | 1.7856 | 1.6580 | 1.8004 |
| 146 | 1.7157 | 1.7433 | 1.7019 | 1.7574 | 1.6878 | 1.7716 | 1.6737 | 1.7861 | 1.6594 | 1.8008 |
| 147 | 1.7167 | 1.7441 | 1.7030 | 1.7581 | 1.6890 | 1.7722 | 1.6750 | 1.7866 | 1.6608 | 1.8012 |
| 148 | 1.7177 | 1.7449 | 1.7041 | 1.7588 | 1.6902 | 1.7729 | 1.6762 | 1.7871 | 1.6622 | 1.8016 |
| 149 | 1.7187 | 1.7457 | 1.7051 | 1.7595 | 1.6914 | 1.7735 | 1.6775 | 1.7876 | 1.6635 | 1.8020 |
| 150 | 1.7197 | 1.7465 | 1.7062 | 1.7602 | 1.6926 | 1.7741 | 1.6788 | 1.7881 | 1.6649 | 1.8024 |
| 151 | 1.7207 | 1.7473 | 1.7072 | 1.7609 | 1.6937 | 1.7747 | 1.6800 | 1.7886 | 1.6662 | 1.8028 |
| 152 | 1.7216 | 1.7481 | 1.7083 | 1.7616 | 1.6948 | 1.7752 | 1.6812 | 1.7891 | 1.6675 | 1.8032 |
| 153 | 1.7226 | 1.7488 | 1.7093 | 1.7622 | 1.6959 | 1.7758 | 1.6824 | 1.7896 | 1.6688 | 1.8036 |
| 154 | 1.7235 | 1.7496 | 1.7103 | 1.7629 | 1.6971 | 1.7764 | 1.6836 | 1.7901 | 1.6701 | 1.8040 |
| 155 | 1.7244 | 1.7504 | 1.7114 | 1.7636 | 1.6982 | 1.7770 | 1.6848 | 1.7906 | 1.6714 | 1.8044 |
| 156 | 1.7253 | 1.7511 | 1.7123 | 1.7642 | 1.6992 | 1.7776 | 1.6860 | 1.7911 | 1.6727 | 1.8048 |
| 157 | 1.7262 | 1.7519 | 1.7133 | 1.7649 | 1.7003 | 1.7781 | 1.6872 | 1.7915 | 1.6739 | 1.8052 |
| 158 | 1.7271 | 1.7526 | 1.7143 | 1.7656 | 1.7014 | 1.7787 | 1.6883 | 1.7920 | 1.6751 | 1.8055 |
| 159 | 1.7280 | 1.7533 | 1.7153 | 1.7662 | 1.7024 | 1.7792 | 1.6895 | 1.7925 | 1.6764 | 1.8059 |
| 160 | 1.7289 | 1.7541 | 1.7163 | 1.7668 | 1.7035 | 1.7798 | 1.6906 | 1.7930 | 1.6776 | 1.8063 |
| 161 | 1.7298 | 1.7548 | 1.7172 | 1.7675 | 1.7045 | 1.7804 | 1.6917 | 1.7934 | 1.6788 | 1.8067 |
| 162 | 1.7306 | 1.7555 | 1.7182 | 1.7681 | 1.7055 | 1.7809 | 1.6928 | 1.7939 | 1.6800 | 1.8070 |
| 163 | 1.7315 | 1.7562 | 1.7191 | 1.7687 | 1.7066 | 1.7814 | 1.6939 | 1.7943 | 1.6811 | 1.8074 |
| 164 | 1.7324 | 1.7569 | 1.7200 | 1.7693 | 1.7075 | 1.7820 | 1.6950 | 1.7948 | 1.6823 | 1.8078 |
| 165 | 1.7332 | 1.7576 | 1.7209 | 1.7700 | 1.7085 | 1.7825 | 1.6960 | 1.7953 | 1.6834 | 1.8082 |
| 166 | 1.7340 | 1.7582 | 1.7218 | 1.7706 | 1.7095 | 1.7831 | 1.6971 | 1.7957 | 1.6846 | 1.8085 |
| 167 | 1.7348 | 1.7589 | 1.7227 | 1.7712 | 1.7105 | 1.7836 | 1.6982 | 1.7961 | 1.6857 | 1.8089 |
| 168 | 1.7357 | 1.7596 | 1.7236 | 1.7718 | 1.7115 | 1.7841 | 1.6992 | 1.7966 | 1.6868 | 1.8092 |
| 169 | 1.7365 | 1.7603 | 1.7245 | 1.7724 | 1.7124 | 1.7846 | 1.7002 | 1.7970 | 1.6879 | 1.8096 |
| 170 | 1.7373 | 1.7609 | 1.7254 | 1.7730 | 1.7134 | 1.7851 | 1.7012 | 1.7975 | 1.6890 | 1.8100 |
| 171 | 1.7381 | 1.7616 | 1.7262 | 1.7735 | 1.7143 | 1.7856 | 1.7023 | 1.7979 | 1.6901 | 1.8103 |
| 172 | 1.7389 | 1.7622 | 1.7271 | 1.7741 | 1.7152 | 1.7861 | 1.7033 | 1.7983 | 1.6912 | 1.8107 |
| 173 | 1.7396 | 1.7629 | 1.7279 | 1.7747 | 1.7162 | 1.7866 | 1.7042 | 1.7988 | 1.6922 | 1.8110 |
| 174 | 1.7404 | 1.7635 | 1.7288 | 1.7753 | 1.7171 | 1.7872 | 1.7052 | 1.7992 | 1.6933 | 1.8114 |
| 175 | 1.7412 | 1.7642 | 1.7296 | 1.7758 | 1.7180 | 1.7877 | 1.7062 | 1.7996 | 1.6943 | 1.8117 |
| 176 | 1.7420 | 1.7648 | 1.7305 | 1.7764 | 1.7189 | 1.7881 | 1.7072 | 1.8000 | 1.6954 | 1.8121 |
| 177 | 1.7427 | 1.7654 | 1.7313 | 1.7769 | 1.7197 | 1.7886 | 1.7081 | 1.8005 | 1.6964 | 1.8124 |
| 178 | 1.7435 | 1.7660 | 1.7321 | 1.7775 | 1.7206 | 1.7891 | 1.7091 | 1.8009 | 1.6974 | 1.8128 |
| 179 | 1.7442 | 1.7667 | 1.7329 | 1.7780 | 1.7215 | 1.7896 | 1.7100 | 1.8013 | 1.6984 | 1.8131 |
| 180 | 1.7449 | 1.7673 | 1.7337 | 1.7786 | 1.7224 | 1.7901 | 1.7109 | 1.8017 | 1.6994 | 1.8135 |
| 181 | 1.7457 | 1.7679 | 1.7345 | 1.7791 | 1.7232 | 1.7906 | 1.7118 | 1.8021 | 1.7004 | 1.8138 |
| 182 | 1.7464 | 1.7685 | 1.7353 | 1.7797 | 1.7241 | 1.7910 | 1.7128 | 1.8025 | 1.7014 | 1.8141 |
| 183 | 1.7471 | 1.7691 | 1.7360 | 1.7802 | 1.7249 | 1.7915 | 1.7137 | 1.8029 | 1.7023 | 1.8145 |
| 184 | 1.7478 | 1.7697 | 1.7368 | 1.7807 | 1.7257 | 1.7920 | 1.7146 | 1.8033 | 1.7033 | 1.8148 |
| 185 | 1.7485 | 1.7702 | 1.7376 | 1.7813 | 1.7266 | 1.7924 | 1.7155 | 1.8037 | 1.7042 | 1.8151 |
| 186 | 1.7492 | 1.7708 | 1.7384 | 1.7818 | 1.7274 | 1.7929 | 1.7163 | 1.8041 | 1.7052 | 1.8155 |
| 187 | 1.7499 | 1.7714 | 1.7391 | 1.7823 | 1.7282 | 1.7933 | 1.7172 | 1.8045 | 1.7061 | 1.8158 |
| 188 | 1.7506 | 1.7720 | 1.7398 | 1.7828 | 1.7290 | 1.7938 | 1.7181 | 1.8049 | 1.7070 | 1.8161 |
| 189 | 1.7513 | 1.7725 | 1.7406 | 1.7833 | 1.7298 | 1.7942 | 1.7189 | 1.8053 | 1.7080 | 1.8165 |
| 190 | 1.7520 | 1.7731 | 1.7413 | 1.7838 | 1.7306 | 1.7947 | 1.7198 | 1.8057 | 1.7089 | 1.8168 |
| 191 | 1.7526 | 1.7737 | 1.7420 | 1.7843 | 1.7314 | 1.7951 | 1.7206 | 1.8061 | 1.7098 | 1.8171 |
| 192 | 1.7533 | 1.7742 | 1.7428 | 1.7848 | 1.7322 | 1.7956 | 1.7215 | 1.8064 | 1.7107 | 1.8174 |
| 193 | 1.7540 | 1.7748 | 1.7435 | 1.7853 | 1.7329 | 1.7960 | 1.7223 | 1.8068 | 1.7116 | 1.8178 |
| 194 | 1.7546 | 1.7753 | 1.7442 | 1.7858 | 1.7337 | 1.7965 | 1.7231 | 1.8072 | 1.7124 | 1.8181 |
| 195 | 1.7553 | 1.7759 | 1.7449 | 1.7863 | 1.7345 | 1.7969 | 1.7239 | 1.8076 | 1.7133 | 1.8184 |
| 196 | 1.7559 | 1.7764 | 1.7456 | 1.7868 | 1.7352 | 1.7973 | 1.7247 | 1.8079 | 1.7142 | 1.8187 |
| 197 | 1.7566 | 1.7769 | 1.7463 | 1.7873 | 1.7360 | 1.7977 | 1.7255 | 1.8083 | 1.7150 | 1.8190 |
| 198 | 1.7572 | 1.7775 | 1.7470 | 1.7878 | 1.7367 | 1.7982 | 1.7263 | 1.8087 | 1.7159 | 1.8193 |
| 199 | 1.7578 | 1.7780 | 1.7477 | 1.7882 | 1.7374 | 1.7986 | 1.7271 | 1.8091 | 1.7167 | 1.8196 |
| 200 | 1.7584 | 1.7785 | 1.7483 | 1.7887 | 1.7382 | 1.7990 | 1.7279 | 1.8094 | 1.7176 | 1.8199 |
- Tabel Durbin Watson dengan Tingkat Signifikansi (α) = 5% dan Variabel Bebas (K = 6 – 10)
| k=6 | k=7 | k=8 | k=9 | k=10 | ||||||
| n | dL | dU | dL | dU | dL | dU | dL | dU | dL | dU |
| 11 | 0.2025 | 3.0045 | ||||||||
| 12 | 0.2681 | 2.832 | 0.1714 | 3.1494 | ||||||
| 13 | 0.3278 | 2.692 | 0.2305 | 2.9851 | 0.1469 | 3.2658 | ||||
| 14 | 0.389 | 2.5716 | 0.2856 | 2.8477 | 0.2001 | 3.1112 | 0.1273 | 3.3604 | ||
| 15 | 0.4471 | 2.4715 | 0.3429 | 2.727 | 0.2509 | 2.9787 | 0.1753 | 3.216 | 0.1113 | 3.4382 |
| 16 | 0.5022 | 2.3881 | 0.3981 | 2.6241 | 0.3043 | 2.8601 | 0.2221 | 3.0895 | 0.1548 | 3.3039 |
| 17 | 0.5542 | 2.3176 | 0.4511 | 2.5366 | 0.3564 | 2.7569 | 0.2718 | 2.9746 | 0.1978 | 3.184 |
| 18 | 0.603 | 2.2575 | 0.5016 | 2.4612 | 0.407 | 2.6675 | 0.3208 | 2.8727 | 0.2441 | 3.0735 |
| 19 | 0.6487 | 2.2061 | 0.5494 | 2.396 | 0.4557 | 2.5894 | 0.3689 | 2.7831 | 0.2901 | 2.974 |
| 20 | 0.6915 | 2.1619 | 0.5945 | 2.3394 | 0.5022 | 2.5208 | 0.4156 | 2.7037 | 0.3357 | 2.8854 |
| 21 | 0.7315 | 2.1236 | 0.6371 | 2.2899 | 0.5465 | 2.4605 | 0.4606 | 2.6332 | 0.3804 | 2.8059 |
| 22 | 0.769 | 2.0902 | 0.6772 | 2.2465 | 0.5884 | 2.4072 | 0.5036 | 2.5705 | 0.4236 | 2.7345 |
| 23 | 0.8041 | 2.0609 | 0.7149 | 2.2082 | 0.6282 | 2.3599 | 0.5448 | 2.5145 | 0.4654 | 2.6704 |
| 24 | 0.8371 | 2.0352 | 0.7505 | 2.1743 | 0.6659 | 2.3177 | 0.584 | 2.4643 | 0.5055 | 2.6126 |
| 25 | 0.868 | 2.0125 | 0.784 | 2.1441 | 0.7015 | 2.2801 | 0.6213 | 2.4192 | 0.544 | 2.5604 |
| 26 | 0.8972 | 1.9924 | 0.8156 | 2.1172 | 0.7353 | 2.2463 | 0.6568 | 2.3786 | 0.5808 | 2.5132 |
| 27 | 0.9246 | 1.9745 | 0.8455 | 2.0931 | 0.7673 | 2.2159 | 0.6906 | 2.3419 | 0.6159 | 2.4703 |
| 28 | 0.9505 | 1.9585 | 0.8737 | 2.0715 | 0.7975 | 2.1884 | 0.7227 | 2.3086 | 0.6495 | 2.4312 |
| 29 | 0.975 | 1.9442 | 0.9004 | 2.052 | 0.8263 | 2.1636 | 0.7532 | 2.2784 | 0.6815 | 2.3956 |
| 30 | 0.9982 | 1.9313 | 0.9256 | 2.0343 | 0.8535 | 2.141 | 0.7822 | 2.2508 | 0.712 | 2.3631 |
| 31 | 1.0201 | 1.9198 | 0.9496 | 2.0183 | 0.8794 | 2.1205 | 0.8098 | 2.2256 | 0.7412 | 2.3332 |
| 32 | 1.0409 | 1.9093 | 0.9724 | 2.0038 | 0.904 | 2.1017 | 0.8361 | 2.2026 | 0.769 | 2.3058 |
| 33 | 1.0607 | 1.8999 | 0.994 | 1.9906 | 0.9274 | 2.0846 | 0.8612 | 2.1814 | 0.7955 | 2.2806 |
| 34 | 1.0794 | 1.8913 | 1.0146 | 1.9785 | 0.9497 | 2.0688 | 0.8851 | 2.1619 | 0.8209 | 2.2574 |
| 35 | 1.0974 | 1.8835 | 1.0342 | 1.9674 | 0.971 | 2.0544 | 0.9079 | 2.144 | 0.8452 | 2.2359 |
| 36 | 1.1144 | 1.8764 | 1.0529 | 1.9573 | 0.9913 | 2.041 | 0.9297 | 2.1274 | 0.8684 | 2.2159 |
| 37 | 1.1307 | 1.87 | 1.0708 | 1.948 | 1.0107 | 2.0288 | 0.9505 | 2.112 | 0.8906 | 2.1975 |
| 38 | 1.1463 | 1.8641 | 1.0879 | 1.9394 | 1.0292 | 2.0174 | 0.9705 | 2.0978 | 0.9118 | 2.1803 |
| 39 | 1.1612 | 1.8587 | 1.1042 | 1.9315 | 1.0469 | 2.0069 | 0.9895 | 2.0846 | 0.9322 | 2.1644 |
| 40 | 1.1754 | 1.8538 | 1.1198 | 1.9243 | 1.0639 | 1.9972 | 1.0078 | 2.0723 | 0.9517 | 2.1495 |
| 41 | 1.1891 | 1.8493 | 1.1348 | 1.9175 | 1.0802 | 1.9881 | 1.0254 | 2.0609 | 0.9705 | 2.1356 |
| 42 | 1.2022 | 1.8451 | 1.1492 | 1.9113 | 1.0958 | 1.9797 | 1.0422 | 2.0502 | 0.9885 | 2.1226 |
| 43 | 1.2148 | 1.8413 | 1.163 | 1.9055 | 1.1108 | 1.9719 | 1.0584 | 2.0403 | 1.0058 | 2.1105 |
| 44 | 1.2269 | 1.8378 | 1.1762 | 1.9002 | 1.1252 | 1.9646 | 1.0739 | 2.031 | 1.0225 | 2.0991 |
| 45 | 1.2385 | 1.8346 | 1.189 | 1.8952 | 1.1391 | 1.9578 | 1.0889 | 2.0222 | 1.0385 | 2.0884 |
| 46 | 1.2497 | 1.8317 | 1.2013 | 1.8906 | 1.1524 | 1.9514 | 1.1033 | 2.014 | 1.0539 | 2.0783 |
| 47 | 1.2605 | 1.829 | 1.2131 | 1.8863 | 1.1653 | 1.9455 | 1.1171 | 2.0064 | 1.0687 | 2.0689 |
| 48 | 1.2709 | 1.8265 | 1.2245 | 1.8823 | 1.1776 | 1.9399 | 1.1305 | 1.9992 | 1.0831 | 2.06 |
| 49 | 1.2809 | 1.8242 | 1.2355 | 1.8785 | 1.1896 | 1.9346 | 1.1434 | 1.9924 | 1.0969 | 2.0516 |
| 50 | 1.2906 | 1.822 | 1.2461 | 1.875 | 1.2011 | 1.9297 | 1.1558 | 1.986 | 1.1102 | 2.0437 |
| 51 | 1.3 | 1.8201 | 1.2563 | 1.8718 | 1.2122 | 1.9251 | 1.1678 | 1.9799 | 1.1231 | 2.0362 |
| 52 | 1.309 | 1.8183 | 1.2662 | 1.8687 | 1.223 | 1.9208 | 1.1794 | 1.9743 | 1.1355 | 2.0291 |
| 53 | 1.3177 | 1.8166 | 1.2758 | 1.8659 | 1.2334 | 1.9167 | 1.1906 | 1.9689 | 1.1476 | 2.0224 |
| 54 | 1.3262 | 1.8151 | 1.2851 | 1.8632 | 1.2435 | 1.9128 | 1.2015 | 1.9638 | 1.1592 | 2.0161 |
| 55 | 1.3344 | 1.8137 | 1.294 | 1.8607 | 1.2532 | 1.9092 | 1.212 | 1.959 | 1.1705 | 2.0101 |
| 56 | 1.3424 | 1.8124 | 1.3027 | 1.8584 | 1.2626 | 1.9058 | 1.2222 | 1.9545 | 1.1814 | 2.0044 |
| 57 | 1.3501 | 1.8112 | 1.3111 | 1.8562 | 1.2718 | 1.9026 | 1.232 | 1.9502 | 1.192 | 1.999 |
| 58 | 1.3576 | 1.8101 | 1.3193 | 1.8542 | 1.2806 | 1.8995 | 1.2416 | 1.9461 | 1.2022 | 1.9938 |
| 59 | 1.3648 | 1.8091 | 1.3272 | 1.8523 | 1.2892 | 1.8967 | 1.2509 | 1.9422 | 1.2122 | 1.9889 |
| 60 | 1.3719 | 1.8082 | 1.3349 | 1.8505 | 1.2976 | 1.8939 | 1.2599 | 1.9386 | 1.2218 | 1.9843 |
| 61 | 1.3787 | 1.8073 | 1.3424 | 1.8488 | 1.3057 | 1.8914 | 1.2686 | 1.9351 | 1.2312 | 1.9798 |
| 62 | 1.3854 | 1.8066 | 1.3497 | 1.8472 | 1.3136 | 1.8889 | 1.2771 | 1.9318 | 1.2403 | 1.9756 |
| 63 | 1.3918 | 1.8058 | 1.3567 | 1.8457 | 1.3212 | 1.8866 | 1.2853 | 1.9286 | 1.2492 | 1.9716 |
| 64 | 1.3981 | 1.8052 | 1.3636 | 1.8443 | 1.3287 | 1.8844 | 1.2934 | 1.9256 | 1.2578 | 1.9678 |
| 65 | 1.4043 | 1.8046 | 1.3703 | 1.843 | 1.3359 | 1.8824 | 1.3012 | 1.9228 | 1.2661 | 1.9641 |
| 66 | 1.4102 | 1.8041 | 1.3768 | 1.8418 | 1.3429 | 1.8804 | 1.3087 | 1.92 | 1.2742 | 1.9606 |
| 67 | 1.416 | 1.8036 | 1.3831 | 1.8406 | 1.3498 | 1.8786 | 1.3161 | 1.9174 | 1.2822 | 1.9572 |
| 68 | 1.4217 | 1.8032 | 1.3893 | 1.8395 | 1.3565 | 1.8768 | 1.3233 | 1.915 | 1.2899 | 1.954 |
| 69 | 1.4272 | 1.8028 | 1.3953 | 1.8385 | 1.363 | 1.8751 | 1.3303 | 1.9126 | 1.2974 | 1.951 |
| 70 | 1.4326 | 1.8025 | 1.4012 | 1.8375 | 1.3693 | 1.8735 | 1.3372 | 1.9104 | 1.3047 | 1.9481 |
| 71 | 1.4379 | 1.8021 | 1.4069 | 1.8366 | 1.3755 | 1.872 | 1.3438 | 1.9082 | 1.3118 | 1.9452 |
| 72 | 1.443 | 1.8019 | 1.4125 | 1.8358 | 1.3815 | 1.8706 | 1.3503 | 1.9062 | 1.3188 | 1.9426 |
| 73 | 1.448 | 1.8016 | 1.4179 | 1.835 | 1.3874 | 1.8692 | 1.3566 | 1.9042 | 1.3256 | 1.94 |
| 74 | 1.4529 | 1.8014 | 1.4232 | 1.8343 | 1.3932 | 1.8679 | 1.3628 | 1.9024 | 1.3322 | 1.9375 |
| 75 | 1.4577 | 1.8013 | 1.4284 | 1.8336 | 1.3988 | 1.8667 | 1.3688 | 1.9006 | 1.3386 | 1.9352 |
| 76 | 1.4623 | 1.8011 | 1.4335 | 1.833 | 1.4043 | 1.8655 | 1.3747 | 1.8989 | 1.3449 | 1.9329 |
| 77 | 1.4669 | 1.801 | 1.4384 | 1.8324 | 1.4096 | 1.8644 | 1.3805 | 1.8972 | 1.3511 | 1.9307 |
| 78 | 1.4714 | 1.8009 | 1.4433 | 1.8318 | 1.4148 | 1.8634 | 1.3861 | 1.8957 | 1.3571 | 1.9286 |
| 79 | 1.4757 | 1.8009 | 1.448 | 1.8313 | 1.4199 | 1.8624 | 1.3916 | 1.8942 | 1.363 | 1.9266 |
| 80 | 1.48 | 1.8008 | 1.4526 | 1.8308 | 1.425 | 1.8614 | 1.397 | 1.8927 | 1.3687 | 1.9247 |
| 81 | 1.4842 | 1.8008 | 1.4572 | 1.8303 | 1.4298 | 1.8605 | 1.4022 | 1.8914 | 1.3743 | 1.9228 |
| 82 | 1.4883 | 1.8008 | 1.4616 | 1.8299 | 1.4346 | 1.8596 | 1.4074 | 1.89 | 1.3798 | 1.9211 |
| 83 | 1.4923 | 1.8008 | 1.4659 | 1.8295 | 1.4393 | 1.8588 | 1.4124 | 1.8888 | 1.3852 | 1.9193 |
| 84 | 1.4962 | 1.8008 | 1.4702 | 1.8291 | 1.4439 | 1.858 | 1.4173 | 1.8876 | 1.3905 | 1.9177 |
| 85 | 1.5 | 1.8009 | 1.4743 | 1.8288 | 1.4484 | 1.8573 | 1.4221 | 1.8864 | 1.3956 | 1.9161 |
| 86 | 1.5038 | 1.801 | 1.4784 | 1.8285 | 1.4528 | 1.8566 | 1.4268 | 1.8853 | 1.4007 | 1.9146 |
| 87 | 1.5075 | 1.801 | 1.4824 | 1.8282 | 1.4571 | 1.8559 | 1.4315 | 1.8842 | 1.4056 | 1.9131 |
| 88 | 1.5111 | 1.8011 | 1.4863 | 1.8279 | 1.4613 | 1.8553 | 1.436 | 1.8832 | 1.4104 | 1.9117 |
| 89 | 1.5147 | 1.8012 | 1.4902 | 1.8277 | 1.4654 | 1.8547 | 1.4404 | 1.8822 | 1.4152 | 1.9103 |
| 90 | 1.5181 | 1.8014 | 1.4939 | 1.8275 | 1.4695 | 1.8541 | 1.4448 | 1.8813 | 1.4198 | 1.909 |
| 91 | 1.5215 | 1.8015 | 1.4976 | 1.8273 | 1.4735 | 1.8536 | 1.449 | 1.8804 | 1.4244 | 1.9077 |
| 92 | 1.5249 | 1.8016 | 1.5013 | 1.8271 | 1.4774 | 1.853 | 1.4532 | 1.8795 | 1.4288 | 1.9065 |
| 93 | 1.5282 | 1.8018 | 1.5048 | 1.8269 | 1.4812 | 1.8526 | 1.4573 | 1.8787 | 1.4332 | 1.9053 |
| 94 | 1.5314 | 1.8019 | 1.5083 | 1.8268 | 1.4849 | 1.8521 | 1.4613 | 1.8779 | 1.4375 | 1.9042 |
| 95 | 1.5346 | 1.8021 | 1.5117 | 1.8266 | 1.4886 | 1.8516 | 1.4653 | 1.8772 | 1.4417 | 1.9031 |
| 96 | 1.5377 | 1.8023 | 1.5151 | 1.8265 | 1.4922 | 1.8512 | 1.4691 | 1.8764 | 1.4458 | 1.9021 |
| 97 | 1.5407 | 1.8025 | 1.5184 | 1.8264 | 1.4958 | 1.8508 | 1.4729 | 1.8757 | 1.4499 | 1.9011 |
| 98 | 1.5437 | 1.8027 | 1.5216 | 1.8263 | 1.4993 | 1.8505 | 1.4767 | 1.875 | 1.4539 | 1.9001 |
| 99 | 1.5467 | 1.8029 | 1.5248 | 1.8263 | 1.5027 | 1.8501 | 1.4803 | 1.8744 | 1.4578 | 1.8991 |
| 100 | 1.5496 | 1.8031 | 1.5279 | 1.8262 | 1.506 | 1.8498 | 1.4839 | 1.8738 | 1.4616 | 1.8982 |
| 101 | 1.5524 | 1.8033 | 1.531 | 1.8261 | 1.5093 | 1.8495 | 1.4875 | 1.8732 | 1.4654 | 1.8973 |
| 102 | 1.5552 | 1.8035 | 1.534 | 1.8261 | 1.5126 | 1.8491 | 1.4909 | 1.8726 | 1.4691 | 1.8965 |
| 103 | 1.558 | 1.8037 | 1.537 | 1.8261 | 1.5158 | 1.8489 | 1.4944 | 1.8721 | 1.4727 | 1.8956 |
| 104 | 1.5607 | 1.804 | 1.5399 | 1.8261 | 1.5189 | 1.8486 | 1.4977 | 1.8715 | 1.4763 | 1.8948 |
| 105 | 1.5634 | 1.8042 | 1.5428 | 1.8261 | 1.522 | 1.8483 | 1.501 | 1.871 | 1.4798 | 1.8941 |
| 106 | 1.566 | 1.8044 | 1.5456 | 1.8261 | 1.525 | 1.8481 | 1.5043 | 1.8705 | 1.4833 | 1.8933 |
| 107 | 1.5686 | 1.8047 | 1.5484 | 1.8261 | 1.528 | 1.8479 | 1.5074 | 1.8701 | 1.4867 | 1.8926 |
| 108 | 1.5711 | 1.8049 | 1.5511 | 1.8261 | 1.531 | 1.8477 | 1.5106 | 1.8696 | 1.49 | 1.8919 |
| 109 | 1.5736 | 1.8052 | 1.5538 | 1.8261 | 1.5338 | 1.8475 | 1.5137 | 1.8692 | 1.4933 | 1.8913 |
| 110 | 1.5761 | 1.8054 | 1.5565 | 1.8262 | 1.5367 | 1.8473 | 1.5167 | 1.8688 | 1.4965 | 1.8906 |
| 111 | 1.5785 | 1.8057 | 1.5591 | 1.8262 | 1.5395 | 1.8471 | 1.5197 | 1.8684 | 1.4997 | 1.89 |
| 112 | 1.5809 | 1.806 | 1.5616 | 1.8263 | 1.5422 | 1.847 | 1.5226 | 1.868 | 1.5028 | 1.8894 |
| 113 | 1.5832 | 1.8062 | 1.5642 | 1.8264 | 1.5449 | 1.8468 | 1.5255 | 1.8676 | 1.5059 | 1.8888 |
| 114 | 1.5855 | 1.8065 | 1.5667 | 1.8264 | 1.5476 | 1.8467 | 1.5284 | 1.8673 | 1.5089 | 1.8882 |
| 115 | 1.5878 | 1.8068 | 1.5691 | 1.8265 | 1.5502 | 1.8466 | 1.5312 | 1.867 | 1.5119 | 1.8877 |
| 116 | 1.5901 | 1.807 | 1.5715 | 1.8266 | 1.5528 | 1.8465 | 1.5339 | 1.8667 | 1.5148 | 1.8872 |
| 117 | 1.5923 | 1.8073 | 1.5739 | 1.8267 | 1.5554 | 1.8463 | 1.5366 | 1.8663 | 1.5177 | 1.8867 |
| 118 | 1.5945 | 1.8076 | 1.5763 | 1.8268 | 1.5579 | 1.8463 | 1.5393 | 1.8661 | 1.5206 | 1.8862 |
| 119 | 1.5966 | 1.8079 | 1.5786 | 1.8269 | 1.5603 | 1.8462 | 1.542 | 1.8658 | 1.5234 | 1.8857 |
| 120 | 1.5987 | 1.8082 | 1.5808 | 1.827 | 1.5628 | 1.8461 | 1.5445 | 1.8655 | 1.5262 | 1.8852 |
| 121 | 1.6008 | 1.8084 | 1.5831 | 1.8271 | 1.5652 | 1.846 | 1.5471 | 1.8653 | 1.5289 | 1.8848 |
| 122 | 1.6029 | 1.8087 | 1.5853 | 1.8272 | 1.5675 | 1.8459 | 1.5496 | 1.865 | 1.5316 | 1.8844 |
| 123 | 1.6049 | 1.809 | 1.5875 | 1.8273 | 1.5699 | 1.8459 | 1.5521 | 1.8648 | 1.5342 | 1.8839 |
| 124 | 1.6069 | 1.8093 | 1.5896 | 1.8274 | 1.5722 | 1.8458 | 1.5546 | 1.8646 | 1.5368 | 1.8835 |
| 125 | 1.6089 | 1.8096 | 1.5917 | 1.8276 | 1.5744 | 1.8458 | 1.557 | 1.8644 | 1.5394 | 1.8832 |
| 126 | 1.6108 | 1.8099 | 1.5938 | 1.8277 | 1.5767 | 1.8458 | 1.5594 | 1.8641 | 1.5419 | 1.8828 |
| 127 | 1.6127 | 1.8102 | 1.5959 | 1.8278 | 1.5789 | 1.8458 | 1.5617 | 1.8639 | 1.5444 | 1.8824 |
| 128 | 1.6146 | 1.8105 | 1.5979 | 1.828 | 1.5811 | 1.8457 | 1.564 | 1.8638 | 1.5468 | 1.8821 |
| 129 | 1.6165 | 1.8107 | 1.5999 | 1.8281 | 1.5832 | 1.8457 | 1.5663 | 1.8636 | 1.5493 | 1.8817 |
| 130 | 1.6184 | 1.811 | 1.6019 | 1.8282 | 1.5853 | 1.8457 | 1.5686 | 1.8634 | 1.5517 | 1.8814 |
| 131 | 1.6202 | 1.8113 | 1.6039 | 1.8284 | 1.5874 | 1.8457 | 1.5708 | 1.8633 | 1.554 | 1.8811 |
| 132 | 1.622 | 1.8116 | 1.6058 | 1.8285 | 1.5895 | 1.8457 | 1.573 | 1.8631 | 1.5564 | 1.8808 |
| 133 | 1.6238 | 1.8119 | 1.6077 | 1.8287 | 1.5915 | 1.8457 | 1.5751 | 1.863 | 1.5586 | 1.8805 |
| 134 | 1.6255 | 1.8122 | 1.6096 | 1.8288 | 1.5935 | 1.8457 | 1.5773 | 1.8629 | 1.5609 | 1.8802 |
| 135 | 1.6272 | 1.8125 | 1.6114 | 1.829 | 1.5955 | 1.8457 | 1.5794 | 1.8627 | 1.5632 | 1.8799 |
| 136 | 1.6289 | 1.8128 | 1.6133 | 1.8292 | 1.5974 | 1.8458 | 1.5815 | 1.8626 | 1.5654 | 1.8797 |
| 137 | 1.6306 | 1.8131 | 1.6151 | 1.8293 | 1.5994 | 1.8458 | 1.5835 | 1.8625 | 1.5675 | 1.8794 |
| 138 | 1.6323 | 1.8134 | 1.6169 | 1.8295 | 1.6013 | 1.8458 | 1.5855 | 1.8624 | 1.5697 | 1.8792 |
| 139 | 1.634 | 1.8137 | 1.6186 | 1.8297 | 1.6031 | 1.8459 | 1.5875 | 1.8623 | 1.5718 | 1.8789 |
| 140 | 1.6356 | 1.814 | 1.6204 | 1.8298 | 1.605 | 1.8459 | 1.5895 | 1.8622 | 1.5739 | 1.8787 |
| 141 | 1.6372 | 1.8143 | 1.6221 | 1.83 | 1.6068 | 1.8459 | 1.5915 | 1.8621 | 1.576 | 1.8785 |
| 142 | 1.6388 | 1.8146 | 1.6238 | 1.8302 | 1.6087 | 1.846 | 1.5934 | 1.862 | 1.578 | 1.8783 |
| 143 | 1.6403 | 1.8149 | 1.6255 | 1.8303 | 1.6104 | 1.846 | 1.5953 | 1.8619 | 1.58 | 1.8781 |
| 144 | 1.6419 | 1.8151 | 1.6271 | 1.8305 | 1.6122 | 1.8461 | 1.5972 | 1.8619 | 1.582 | 1.8779 |
| 145 | 1.6434 | 1.8154 | 1.6288 | 1.8307 | 1.614 | 1.8462 | 1.599 | 1.8618 | 1.584 | 1.8777 |
| 146 | 1.6449 | 1.8157 | 1.6304 | 1.8309 | 1.6157 | 1.8462 | 1.6009 | 1.8618 | 1.5859 | 1.8775 |
| 147 | 1.6464 | 1.816 | 1.632 | 1.831 | 1.6174 | 1.8463 | 1.6027 | 1.8617 | 1.5878 | 1.8773 |
| 148 | 1.6479 | 1.8163 | 1.6336 | 1.8312 | 1.6191 | 1.8463 | 1.6045 | 1.8617 | 1.5897 | 1.8772 |
| 149 | 1.6494 | 1.8166 | 1.6351 | 1.8314 | 1.6207 | 1.8464 | 1.6062 | 1.8616 | 1.5916 | 1.877 |
| 150 | 1.6508 | 1.8169 | 1.6367 | 1.8316 | 1.6224 | 1.8465 | 1.608 | 1.8616 | 1.5935 | 1.8768 |
| 151 | 1.6523 | 1.8172 | 1.6382 | 1.8318 | 1.624 | 1.8466 | 1.6097 | 1.8615 | 1.5953 | 1.8767 |
| 152 | 1.6537 | 1.8175 | 1.6397 | 1.832 | 1.6256 | 1.8466 | 1.6114 | 1.8615 | 1.5971 | 1.8765 |
| 153 | 1.6551 | 1.8178 | 1.6412 | 1.8322 | 1.6272 | 1.8467 | 1.6131 | 1.8615 | 1.5989 | 1.8764 |
| 154 | 1.6565 | 1.8181 | 1.6427 | 1.8323 | 1.6288 | 1.8468 | 1.6148 | 1.8614 | 1.6007 | 1.8763 |
| 155 | 1.6578 | 1.8184 | 1.6441 | 1.8325 | 1.6303 | 1.8469 | 1.6164 | 1.8614 | 1.6024 | 1.8761 |
| 156 | 1.6592 | 1.8186 | 1.6456 | 1.8327 | 1.6319 | 1.847 | 1.6181 | 1.8614 | 1.6041 | 1.876 |
| 157 | 1.6605 | 1.8189 | 1.647 | 1.8329 | 1.6334 | 1.8471 | 1.6197 | 1.8614 | 1.6058 | 1.8759 |
| 158 | 1.6618 | 1.8192 | 1.6484 | 1.8331 | 1.6349 | 1.8472 | 1.6213 | 1.8614 | 1.6075 | 1.8758 |
| 159 | 1.6631 | 1.8195 | 1.6498 | 1.8333 | 1.6364 | 1.8472 | 1.6229 | 1.8614 | 1.6092 | 1.8757 |
| 160 | 1.6644 | 1.8198 | 1.6512 | 1.8335 | 1.6379 | 1.8473 | 1.6244 | 1.8614 | 1.6108 | 1.8756 |
| 161 | 1.6657 | 1.8201 | 1.6526 | 1.8337 | 1.6393 | 1.8474 | 1.626 | 1.8614 | 1.6125 | 1.8755 |
| 162 | 1.667 | 1.8204 | 1.6539 | 1.8339 | 1.6408 | 1.8475 | 1.6275 | 1.8614 | 1.6141 | 1.8754 |
| 163 | 1.6683 | 1.8207 | 1.6553 | 1.8341 | 1.6422 | 1.8476 | 1.629 | 1.8614 | 1.6157 | 1.8753 |
| 164 | 1.6695 | 1.8209 | 1.6566 | 1.8343 | 1.6436 | 1.8478 | 1.6305 | 1.8614 | 1.6173 | 1.8752 |
| 165 | 1.6707 | 1.8212 | 1.6579 | 1.8345 | 1.645 | 1.8479 | 1.632 | 1.8614 | 1.6188 | 1.8751 |
| 166 | 1.672 | 1.8215 | 1.6592 | 1.8346 | 1.6464 | 1.848 | 1.6334 | 1.8614 | 1.6204 | 1.8751 |
| 167 | 1.6732 | 1.8218 | 1.6605 | 1.8348 | 1.6477 | 1.8481 | 1.6349 | 1.8615 | 1.6219 | 1.875 |
| 168 | 1.6743 | 1.8221 | 1.6618 | 1.835 | 1.6491 | 1.8482 | 1.6363 | 1.8615 | 1.6234 | 1.8749 |
| 169 | 1.6755 | 1.8223 | 1.663 | 1.8352 | 1.6504 | 1.8483 | 1.6377 | 1.8615 | 1.6249 | 1.8748 |
| 170 | 1.6767 | 1.8226 | 1.6643 | 1.8354 | 1.6517 | 1.8484 | 1.6391 | 1.8615 | 1.6264 | 1.8748 |
| 171 | 1.6779 | 1.8229 | 1.6655 | 1.8356 | 1.6531 | 1.8485 | 1.6405 | 1.8615 | 1.6279 | 1.8747 |
| 172 | 1.679 | 1.8232 | 1.6667 | 1.8358 | 1.6544 | 1.8486 | 1.6419 | 1.8616 | 1.6293 | 1.8747 |
| 173 | 1.6801 | 1.8235 | 1.6679 | 1.836 | 1.6556 | 1.8487 | 1.6433 | 1.8616 | 1.6308 | 1.8746 |
| 174 | 1.6813 | 1.8237 | 1.6691 | 1.8362 | 1.6569 | 1.8489 | 1.6446 | 1.8617 | 1.6322 | 1.8746 |
| 175 | 1.6824 | 1.824 | 1.6703 | 1.8364 | 1.6582 | 1.849 | 1.6459 | 1.8617 | 1.6336 | 1.8745 |
| 176 | 1.6835 | 1.8243 | 1.6715 | 1.8366 | 1.6594 | 1.8491 | 1.6472 | 1.8617 | 1.635 | 1.8745 |
| 177 | 1.6846 | 1.8246 | 1.6727 | 1.8368 | 1.6606 | 1.8492 | 1.6486 | 1.8618 | 1.6364 | 1.8744 |
| 178 | 1.6857 | 1.8248 | 1.6738 | 1.837 | 1.6619 | 1.8493 | 1.6499 | 1.8618 | 1.6377 | 1.8744 |
| 179 | 1.6867 | 1.8251 | 1.675 | 1.8372 | 1.6631 | 1.8495 | 1.6511 | 1.8618 | 1.6391 | 1.8744 |
| 180 | 1.6878 | 1.8254 | 1.6761 | 1.8374 | 1.6643 | 1.8496 | 1.6524 | 1.8619 | 1.6404 | 1.8744 |
| 181 | 1.6888 | 1.8256 | 1.6772 | 1.8376 | 1.6655 | 1.8497 | 1.6537 | 1.8619 | 1.6418 | 1.8743 |
| 182 | 1.6899 | 1.8259 | 1.6783 | 1.8378 | 1.6667 | 1.8498 | 1.6549 | 1.862 | 1.6431 | 1.8743 |
| 183 | 1.6909 | 1.8262 | 1.6794 | 1.838 | 1.6678 | 1.85 | 1.6561 | 1.8621 | 1.6444 | 1.8743 |
| 184 | 1.6919 | 1.8264 | 1.6805 | 1.8382 | 1.669 | 1.8501 | 1.6574 | 1.8621 | 1.6457 | 1.8743 |
| 185 | 1.693 | 1.8267 | 1.6816 | 1.8384 | 1.6701 | 1.8502 | 1.6586 | 1.8622 | 1.6469 | 1.8742 |
| 186 | 1.694 | 1.827 | 1.6826 | 1.8386 | 1.6712 | 1.8503 | 1.6598 | 1.8622 | 1.6482 | 1.8742 |
| 187 | 1.695 | 1.8272 | 1.6837 | 1.8388 | 1.6724 | 1.8505 | 1.661 | 1.8623 | 1.6495 | 1.8742 |
| 188 | 1.6959 | 1.8275 | 1.6848 | 1.839 | 1.6735 | 1.8506 | 1.6621 | 1.8623 | 1.6507 | 1.8742 |
| 189 | 1.6969 | 1.8278 | 1.6858 | 1.8392 | 1.6746 | 1.8507 | 1.6633 | 1.8624 | 1.6519 | 1.8742 |
| 190 | 1.6979 | 1.828 | 1.6868 | 1.8394 | 1.6757 | 1.8509 | 1.6644 | 1.8625 | 1.6531 | 1.8742 |
| 191 | 1.6988 | 1.8283 | 1.6878 | 1.8396 | 1.6768 | 1.851 | 1.6656 | 1.8625 | 1.6543 | 1.8742 |
| 192 | 1.6998 | 1.8285 | 1.6889 | 1.8398 | 1.6778 | 1.8511 | 1.6667 | 1.8626 | 1.6555 | 1.8742 |
| 193 | 1.7007 | 1.8288 | 1.6899 | 1.84 | 1.6789 | 1.8513 | 1.6678 | 1.8627 | 1.6567 | 1.8742 |
| 194 | 1.7017 | 1.8291 | 1.6909 | 1.8402 | 1.6799 | 1.8514 | 1.669 | 1.8627 | 1.6579 | 1.8742 |
| 195 | 1.7026 | 1.8293 | 1.6918 | 1.8404 | 1.681 | 1.8515 | 1.6701 | 1.8628 | 1.6591 | 1.8742 |
| 196 | 1.7035 | 1.8296 | 1.6928 | 1.8406 | 1.682 | 1.8516 | 1.6712 | 1.8629 | 1.6602 | 1.8742 |
| 197 | 1.7044 | 1.8298 | 1.6938 | 1.8407 | 1.6831 | 1.8518 | 1.6722 | 1.8629 | 1.6614 | 1.8742 |
| 198 | 1.7053 | 1.8301 | 1.6947 | 1.8409 | 1.6841 | 1.8519 | 1.6733 | 1.863 | 1.6625 | 1.8742 |
| 199 | 1.7062 | 1.8303 | 1.6957 | 1.8411 | 1.6851 | 1.8521 | 1.6744 | 1.8631 | 1.6636 | 1.8742 |
| 200 | 1.7071 | 1.8306 | 1.6966 | 1.8413 | 1.6861 | 1.8522 | 1.6754 | 1.8632 | 1.6647 | 1.8742 |
- Tabel Durbin Watson dengan Tingkat Signifikansi (α) = 5% dan Variabel Bebas (K = 11 – 15)
| k=11 | k=12 | k=13 | k=14 | k=15 | ||||||
| n | dL | dU | dL | dU | dL | dU | dL | dU | dL | dU |
| 16 | 0.0981 | 3.5029 | ||||||||
| 17 | 0.1376 | 3.3782 | 0.0871 | 3.5572 | ||||||
| 18 | 0.1773 | 3.265 | 0.1232 | 3.4414 | 0.0779 | 3.6032 | ||||
| 19 | 0.2203 | 3.1593 | 0.1598 | 3.3348 | 0.1108 | 3.4957 | 0.07 | 3.6424 | ||
| 20 | 0.2635 | 3.0629 | 0.1998 | 3.2342 | 0.1447 | 3.3954 | 0.1002 | 3.5425 | 0.0633 | 3.6762 |
| 21 | 0.3067 | 2.976 | 0.2403 | 3.1413 | 0.182 | 3.2998 | 0.1317 | 3.4483 | 0.0911 | 3.5832 |
| 22 | 0.3493 | 2.8973 | 0.2812 | 3.0566 | 0.22 | 3.2106 | 0.1664 | 3.3576 | 0.1203 | 3.4946 |
| 23 | 0.3908 | 2.8259 | 0.3217 | 2.9792 | 0.2587 | 3.1285 | 0.2022 | 3.2722 | 0.1527 | 3.4087 |
| 24 | 0.4312 | 2.7611 | 0.3616 | 2.9084 | 0.2972 | 3.0528 | 0.2387 | 3.1929 | 0.1864 | 3.327 |
| 25 | 0.4702 | 2.7023 | 0.4005 | 2.8436 | 0.3354 | 2.983 | 0.2754 | 3.1191 | 0.2209 | 3.2506 |
| 26 | 0.5078 | 2.6488 | 0.4383 | 2.7844 | 0.3728 | 2.9187 | 0.3118 | 3.0507 | 0.2558 | 3.179 |
| 27 | 0.5439 | 2.6 | 0.4748 | 2.7301 | 0.4093 | 2.8595 | 0.3478 | 2.9872 | 0.2906 | 3.1122 |
| 28 | 0.5785 | 2.5554 | 0.5101 | 2.6803 | 0.4449 | 2.8049 | 0.3831 | 2.9284 | 0.3252 | 3.0498 |
| 29 | 0.6117 | 2.5146 | 0.5441 | 2.6345 | 0.4793 | 2.7545 | 0.4175 | 2.8738 | 0.3592 | 2.9916 |
| 30 | 0.6435 | 2.4771 | 0.5769 | 2.5923 | 0.5126 | 2.7079 | 0.4511 | 2.8232 | 0.3926 | 2.9374 |
| 31 | 0.6739 | 2.4427 | 0.6083 | 2.5535 | 0.5447 | 2.6648 | 0.4836 | 2.7762 | 0.4251 | 2.8868 |
| 32 | 0.703 | 2.411 | 0.6385 | 2.5176 | 0.5757 | 2.6249 | 0.5151 | 2.7325 | 0.4569 | 2.8396 |
| 33 | 0.7309 | 2.3818 | 0.6675 | 2.4844 | 0.6056 | 2.5879 | 0.5456 | 2.6918 | 0.4877 | 2.7956 |
| 34 | 0.7576 | 2.3547 | 0.6953 | 2.4536 | 0.6343 | 2.5535 | 0.575 | 2.6539 | 0.5176 | 2.7544 |
| 35 | 0.7831 | 2.3297 | 0.722 | 2.425 | 0.662 | 2.5215 | 0.6035 | 2.6186 | 0.5466 | 2.7159 |
| 36 | 0.8076 | 2.3064 | 0.7476 | 2.3984 | 0.6886 | 2.4916 | 0.6309 | 2.5856 | 0.5746 | 2.6799 |
| 37 | 0.8311 | 2.2848 | 0.7722 | 2.3737 | 0.7142 | 2.4638 | 0.6573 | 2.5547 | 0.6018 | 2.6461 |
| 38 | 0.8536 | 2.2647 | 0.7958 | 2.3506 | 0.7389 | 2.4378 | 0.6828 | 2.5258 | 0.628 | 2.6144 |
| 39 | 0.8751 | 2.2459 | 0.8185 | 2.329 | 0.7626 | 2.4134 | 0.7074 | 2.4987 | 0.6533 | 2.5847 |
| 40 | 0.8959 | 2.2284 | 0.8404 | 2.3089 | 0.7854 | 2.3906 | 0.7312 | 2.4733 | 0.6778 | 2.5567 |
| 41 | 0.9158 | 2.212 | 0.8613 | 2.29 | 0.8074 | 2.3692 | 0.754 | 2.4494 | 0.7015 | 2.5304 |
| 42 | 0.9349 | 2.1967 | 0.8815 | 2.2723 | 0.8285 | 2.3491 | 0.7761 | 2.4269 | 0.7243 | 2.5056 |
| 43 | 0.9533 | 2.1823 | 0.9009 | 2.2556 | 0.8489 | 2.3302 | 0.7973 | 2.4058 | 0.7464 | 2.4822 |
| 44 | 0.971 | 2.1688 | 0.9196 | 2.24 | 0.8686 | 2.3124 | 0.8179 | 2.3858 | 0.7677 | 2.4601 |
| 45 | 0.988 | 2.1561 | 0.9377 | 2.2252 | 0.8875 | 2.2956 | 0.8377 | 2.367 | 0.7883 | 2.4392 |
| 46 | 1.0044 | 2.1442 | 0.955 | 2.2113 | 0.9058 | 2.2797 | 0.8568 | 2.3492 | 0.8083 | 2.4195 |
| 47 | 1.0203 | 2.1329 | 0.9718 | 2.1982 | 0.9234 | 2.2648 | 0.8753 | 2.3324 | 0.8275 | 2.4008 |
| 48 | 1.0355 | 2.1223 | 0.9879 | 2.1859 | 0.9405 | 2.2506 | 0.8931 | 2.3164 | 0.8461 | 2.3831 |
| 49 | 1.0502 | 2.1122 | 1.0035 | 2.1742 | 0.9569 | 2.2372 | 0.9104 | 2.3013 | 0.8642 | 2.3663 |
| 50 | 1.0645 | 2.1028 | 1.0186 | 2.1631 | 0.9728 | 2.2245 | 0.9271 | 2.287 | 0.8816 | 2.3503 |
| 51 | 1.0782 | 2.0938 | 1.0332 | 2.1526 | 0.9882 | 2.2125 | 0.9432 | 2.2734 | 0.8985 | 2.3352 |
| 52 | 1.0915 | 2.0853 | 1.0473 | 2.1426 | 1.003 | 2.2011 | 0.9589 | 2.2605 | 0.9148 | 2.3207 |
| 53 | 1.1043 | 2.0772 | 1.0609 | 2.1332 | 1.0174 | 2.1902 | 0.974 | 2.2482 | 0.9307 | 2.307 |
| 54 | 1.1167 | 2.0696 | 1.0741 | 2.1242 | 1.0314 | 2.1799 | 0.9886 | 2.2365 | 0.946 | 2.2939 |
| 55 | 1.1288 | 2.0623 | 1.0869 | 2.1157 | 1.0449 | 2.17 | 1.0028 | 2.2253 | 0.9609 | 2.2815 |
| 56 | 1.1404 | 2.0554 | 1.0992 | 2.1076 | 1.0579 | 2.1607 | 1.0166 | 2.2147 | 0.9753 | 2.2696 |
| 57 | 1.1517 | 2.0489 | 1.1112 | 2.0998 | 1.0706 | 2.1518 | 1.0299 | 2.2046 | 0.9893 | 2.2582 |
| 58 | 1.1626 | 2.0426 | 1.1228 | 2.0925 | 1.0829 | 2.1432 | 1.0429 | 2.1949 | 1.0029 | 2.2474 |
| 59 | 1.1733 | 2.0367 | 1.1341 | 2.0854 | 1.0948 | 2.1351 | 1.0555 | 2.1856 | 1.0161 | 2.237 |
| 60 | 1.1835 | 2.031 | 1.1451 | 2.0787 | 1.1064 | 2.1273 | 1.0676 | 2.1768 | 1.0289 | 2.2271 |
| 61 | 1.1936 | 2.0256 | 1.1557 | 2.0723 | 1.1176 | 2.1199 | 1.0795 | 2.1684 | 1.0413 | 2.2176 |
| 62 | 1.2033 | 2.0204 | 1.166 | 2.0662 | 1.1286 | 2.1128 | 1.091 | 2.1603 | 1.0534 | 2.2084 |
| 63 | 1.2127 | 2.0155 | 1.176 | 2.0604 | 1.1392 | 2.106 | 1.1022 | 2.1525 | 1.0651 | 2.1997 |
| 64 | 1.2219 | 2.0108 | 1.1858 | 2.0548 | 1.1495 | 2.0995 | 1.1131 | 2.1451 | 1.0766 | 2.1913 |
| 65 | 1.2308 | 2.0063 | 1.1953 | 2.0494 | 1.1595 | 2.0933 | 1.1236 | 2.138 | 1.0877 | 2.1833 |
| 66 | 1.2395 | 2.002 | 1.2045 | 2.0443 | 1.1693 | 2.0873 | 1.1339 | 2.1311 | 1.0985 | 2.1756 |
| 67 | 1.2479 | 1.9979 | 1.2135 | 2.0393 | 1.1788 | 2.0816 | 1.144 | 2.1245 | 1.109 | 2.1682 |
| 68 | 1.2561 | 1.9939 | 1.2222 | 2.0346 | 1.188 | 2.0761 | 1.1537 | 2.1182 | 1.1193 | 2.1611 |
| 69 | 1.2642 | 1.9901 | 1.2307 | 2.0301 | 1.197 | 2.0708 | 1.1632 | 2.1122 | 1.1293 | 2.1542 |
| 70 | 1.272 | 1.9865 | 1.239 | 2.0257 | 1.2058 | 2.0657 | 1.1725 | 2.1063 | 1.139 | 2.1476 |
| 71 | 1.2796 | 1.983 | 1.2471 | 2.0216 | 1.2144 | 2.0608 | 1.1815 | 2.1007 | 1.1485 | 2.1413 |
| 72 | 1.287 | 1.9797 | 1.255 | 2.0176 | 1.2227 | 2.0561 | 1.1903 | 2.0953 | 1.1578 | 2.1352 |
| 73 | 1.2942 | 1.9765 | 1.2626 | 2.0137 | 1.2308 | 2.0516 | 1.1989 | 2.0901 | 1.1668 | 2.1293 |
| 74 | 1.3013 | 1.9734 | 1.2701 | 2.01 | 1.2388 | 2.0472 | 1.2073 | 2.0851 | 1.1756 | 2.1236 |
| 75 | 1.3082 | 1.9705 | 1.2774 | 2.0064 | 1.2465 | 2.043 | 1.2154 | 2.0803 | 1.1842 | 2.1181 |
| 76 | 1.3149 | 1.9676 | 1.2846 | 2.003 | 1.2541 | 2.039 | 1.2234 | 2.0756 | 1.1926 | 2.1128 |
| 77 | 1.3214 | 1.9649 | 1.2916 | 1.9997 | 1.2615 | 2.0351 | 1.2312 | 2.0711 | 1.2008 | 2.1077 |
| 78 | 1.3279 | 1.9622 | 1.2984 | 1.9965 | 1.2687 | 2.0314 | 1.2388 | 2.0668 | 1.2088 | 2.1028 |
| 79 | 1.3341 | 1.9597 | 1.305 | 1.9934 | 1.2757 | 2.0277 | 1.2462 | 2.0626 | 1.2166 | 2.098 |
| 80 | 1.3402 | 1.9573 | 1.3115 | 1.9905 | 1.2826 | 2.0242 | 1.2535 | 2.0586 | 1.2242 | 2.0934 |
| 81 | 1.3462 | 1.9549 | 1.3179 | 1.9876 | 1.2893 | 2.0209 | 1.2606 | 2.0547 | 1.2317 | 2.089 |
| 82 | 1.3521 | 1.9527 | 1.3241 | 1.9849 | 1.2959 | 2.0176 | 1.2675 | 2.0509 | 1.239 | 2.0847 |
| 83 | 1.3578 | 1.9505 | 1.3302 | 1.9822 | 1.3023 | 2.0144 | 1.2743 | 2.0472 | 1.2461 | 2.0805 |
| 84 | 1.3634 | 1.9484 | 1.3361 | 1.9796 | 1.3086 | 2.0114 | 1.2809 | 2.0437 | 1.2531 | 2.0765 |
| 85 | 1.3689 | 1.9464 | 1.3419 | 1.9771 | 1.3148 | 2.0085 | 1.2874 | 2.0403 | 1.2599 | 2.0726 |
| 86 | 1.3743 | 1.9444 | 1.3476 | 1.9747 | 1.3208 | 2.0056 | 1.2938 | 2.037 | 1.2666 | 2.0688 |
| 87 | 1.3795 | 1.9425 | 1.3532 | 1.9724 | 1.3267 | 2.0029 | 1.3 | 2.0338 | 1.2732 | 2.0652 |
| 88 | 1.3847 | 1.9407 | 1.3587 | 1.9702 | 1.3325 | 2.0002 | 1.3061 | 2.0307 | 1.2796 | 2.0616 |
| 89 | 1.3897 | 1.9389 | 1.364 | 1.968 | 1.3381 | 1.9976 | 1.3121 | 2.0277 | 1.2859 | 2.0582 |
| 90 | 1.3946 | 1.9372 | 1.3693 | 1.9659 | 1.3437 | 1.9951 | 1.3179 | 2.0247 | 1.292 | 2.0548 |
| 91 | 1.3995 | 1.9356 | 1.3744 | 1.9639 | 1.3491 | 1.9927 | 1.3237 | 2.0219 | 1.298 | 2.0516 |
| 92 | 1.4042 | 1.934 | 1.3794 | 1.9619 | 1.3544 | 1.9903 | 1.3293 | 2.0192 | 1.3039 | 2.0485 |
| 93 | 1.4089 | 1.9325 | 1.3844 | 1.96 | 1.3597 | 1.9881 | 1.3348 | 2.0165 | 1.3097 | 2.0454 |
| 94 | 1.4135 | 1.931 | 1.3892 | 1.9582 | 1.3648 | 1.9859 | 1.3402 | 2.0139 | 1.3154 | 2.0424 |
| 95 | 1.4179 | 1.9295 | 1.394 | 1.9564 | 1.3698 | 1.9837 | 1.3455 | 2.0114 | 1.321 | 2.0396 |
| 96 | 1.4223 | 1.9282 | 1.3986 | 1.9547 | 1.3747 | 1.9816 | 1.3507 | 2.009 | 1.3264 | 2.0368 |
| 97 | 1.4266 | 1.9268 | 1.4032 | 1.953 | 1.3796 | 1.9796 | 1.3557 | 2.0067 | 1.3318 | 2.0341 |
| 98 | 1.4309 | 1.9255 | 1.4077 | 1.9514 | 1.3843 | 1.9777 | 1.3607 | 2.0044 | 1.337 | 2.0314 |
| 99 | 1.435 | 1.9243 | 1.4121 | 1.9498 | 1.3889 | 1.9758 | 1.3656 | 2.0021 | 1.3422 | 2.0289 |
| 100 | 1.4391 | 1.9231 | 1.4164 | 1.9483 | 1.3935 | 1.9739 | 1.3705 | 2 | 1.3472 | 2.0264 |
| 101 | 1.4431 | 1.9219 | 1.4206 | 1.9468 | 1.398 | 1.9722 | 1.3752 | 1.9979 | 1.3522 | 2.0239 |
| 102 | 1.447 | 1.9207 | 1.4248 | 1.9454 | 1.4024 | 1.9704 | 1.3798 | 1.9958 | 1.3571 | 2.0216 |
| 103 | 1.4509 | 1.9196 | 1.4289 | 1.944 | 1.4067 | 1.9687 | 1.3844 | 1.9938 | 1.3619 | 2.0193 |
| 104 | 1.4547 | 1.9186 | 1.4329 | 1.9426 | 1.411 | 1.9671 | 1.3889 | 1.9919 | 1.3666 | 2.0171 |
| 105 | 1.4584 | 1.9175 | 1.4369 | 1.9413 | 1.4151 | 1.9655 | 1.3933 | 1.99 | 1.3712 | 2.0149 |
| 106 | 1.4621 | 1.9165 | 1.4408 | 1.9401 | 1.4192 | 1.964 | 1.3976 | 1.9882 | 1.3758 | 2.0128 |
| 107 | 1.4657 | 1.9155 | 1.4446 | 1.9388 | 1.4233 | 1.9624 | 1.4018 | 1.9864 | 1.3802 | 2.0107 |
| 108 | 1.4693 | 1.9146 | 1.4483 | 1.9376 | 1.4272 | 1.961 | 1.406 | 1.9847 | 1.3846 | 2.0087 |
| 109 | 1.4727 | 1.9137 | 1.452 | 1.9364 | 1.4311 | 1.9595 | 1.4101 | 1.983 | 1.3889 | 2.0067 |
| 110 | 1.4762 | 1.9128 | 1.4556 | 1.9353 | 1.435 | 1.9582 | 1.4141 | 1.9813 | 1.3932 | 2.0048 |
| 111 | 1.4795 | 1.9119 | 1.4592 | 1.9342 | 1.4387 | 1.9568 | 1.4181 | 1.9797 | 1.3973 | 2.003 |
| 112 | 1.4829 | 1.9111 | 1.4627 | 1.9331 | 1.4424 | 1.9555 | 1.422 | 1.9782 | 1.4014 | 2.0011 |
| 113 | 1.4861 | 1.9103 | 1.4662 | 1.9321 | 1.4461 | 1.9542 | 1.4258 | 1.9766 | 1.4055 | 1.9994 |
| 114 | 1.4893 | 1.9095 | 1.4696 | 1.9311 | 1.4497 | 1.953 | 1.4296 | 1.9752 | 1.4094 | 1.9977 |
| 115 | 1.4925 | 1.9087 | 1.4729 | 1.9301 | 1.4532 | 1.9518 | 1.4333 | 1.9737 | 1.4133 | 1.996 |
| 116 | 1.4956 | 1.908 | 1.4762 | 1.9291 | 1.4567 | 1.9506 | 1.437 | 1.9723 | 1.4172 | 1.9943 |
| 117 | 1.4987 | 1.9073 | 1.4795 | 1.9282 | 1.4601 | 1.9494 | 1.4406 | 1.9709 | 1.4209 | 1.9927 |
| 118 | 1.5017 | 1.9066 | 1.4827 | 1.9273 | 1.4635 | 1.9483 | 1.4441 | 1.9696 | 1.4247 | 1.9912 |
| 119 | 1.5047 | 1.9059 | 1.4858 | 1.9264 | 1.4668 | 1.9472 | 1.4476 | 1.9683 | 1.4283 | 1.9896 |
| 120 | 1.5076 | 1.9053 | 1.4889 | 1.9256 | 1.47 | 1.9461 | 1.4511 | 1.967 | 1.4319 | 1.9881 |
| 121 | 1.5105 | 1.9046 | 1.4919 | 1.9247 | 1.4733 | 1.9451 | 1.4544 | 1.9658 | 1.4355 | 1.9867 |
| 122 | 1.5133 | 1.904 | 1.495 | 1.9239 | 1.4764 | 1.9441 | 1.4578 | 1.9646 | 1.439 | 1.9853 |
| 123 | 1.5161 | 1.9034 | 1.4979 | 1.9231 | 1.4795 | 1.9431 | 1.4611 | 1.9634 | 1.4424 | 1.9839 |
| 124 | 1.5189 | 1.9028 | 1.5008 | 1.9223 | 1.4826 | 1.9422 | 1.4643 | 1.9622 | 1.4458 | 1.9825 |
| 125 | 1.5216 | 1.9023 | 1.5037 | 1.9216 | 1.4857 | 1.9412 | 1.4675 | 1.9611 | 1.4492 | 1.9812 |
| 126 | 1.5243 | 1.9017 | 1.5065 | 1.9209 | 1.4886 | 1.9403 | 1.4706 | 1.96 | 1.4525 | 1.9799 |
| 127 | 1.5269 | 1.9012 | 1.5093 | 1.9202 | 1.4916 | 1.9394 | 1.4737 | 1.9589 | 1.4557 | 1.9786 |
| 128 | 1.5295 | 1.9006 | 1.5121 | 1.9195 | 1.4945 | 1.9385 | 1.4768 | 1.9578 | 1.4589 | 1.9774 |
| 129 | 1.5321 | 1.9001 | 1.5148 | 1.9188 | 1.4973 | 1.9377 | 1.4798 | 1.9568 | 1.4621 | 1.9762 |
| 130 | 1.5346 | 1.8997 | 1.5175 | 1.9181 | 1.5002 | 1.9369 | 1.4827 | 1.9558 | 1.4652 | 1.975 |
| 131 | 1.5371 | 1.8992 | 1.5201 | 1.9175 | 1.5029 | 1.936 | 1.4856 | 1.9548 | 1.4682 | 1.9738 |
| 132 | 1.5396 | 1.8987 | 1.5227 | 1.9169 | 1.5057 | 1.9353 | 1.4885 | 1.9539 | 1.4713 | 1.9727 |
| 133 | 1.542 | 1.8983 | 1.5253 | 1.9163 | 1.5084 | 1.9345 | 1.4914 | 1.9529 | 1.4742 | 1.9716 |
| 134 | 1.5444 | 1.8978 | 1.5278 | 1.9157 | 1.511 | 1.9337 | 1.4942 | 1.952 | 1.4772 | 1.9705 |
| 135 | 1.5468 | 1.8974 | 1.5303 | 1.9151 | 1.5137 | 1.933 | 1.4969 | 1.9511 | 1.4801 | 1.9695 |
| 136 | 1.5491 | 1.897 | 1.5328 | 1.9145 | 1.5163 | 1.9323 | 1.4997 | 1.9502 | 1.4829 | 1.9684 |
| 137 | 1.5514 | 1.8966 | 1.5352 | 1.914 | 1.5188 | 1.9316 | 1.5024 | 1.9494 | 1.4858 | 1.9674 |
| 138 | 1.5537 | 1.8962 | 1.5376 | 1.9134 | 1.5213 | 1.9309 | 1.505 | 1.9486 | 1.4885 | 1.9664 |
| 139 | 1.5559 | 1.8958 | 1.54 | 1.9129 | 1.5238 | 1.9302 | 1.5076 | 1.9477 | 1.4913 | 1.9655 |
| 140 | 1.5582 | 1.8955 | 1.5423 | 1.9124 | 1.5263 | 1.9296 | 1.5102 | 1.9469 | 1.494 | 1.9645 |
| 141 | 1.5603 | 1.8951 | 1.5446 | 1.9119 | 1.5287 | 1.9289 | 1.5128 | 1.9461 | 1.4967 | 1.9636 |
| 142 | 1.5625 | 1.8947 | 1.5469 | 1.9114 | 1.5311 | 1.9283 | 1.5153 | 1.9454 | 1.4993 | 1.9627 |
| 143 | 1.5646 | 1.8944 | 1.5491 | 1.911 | 1.5335 | 1.9277 | 1.5178 | 1.9446 | 1.5019 | 1.9618 |
| 144 | 1.5667 | 1.8941 | 1.5513 | 1.9105 | 1.5358 | 1.9271 | 1.5202 | 1.9439 | 1.5045 | 1.9609 |
| 145 | 1.5688 | 1.8938 | 1.5535 | 1.91 | 1.5381 | 1.9265 | 1.5226 | 1.9432 | 1.507 | 1.96 |
| 146 | 1.5709 | 1.8935 | 1.5557 | 1.9096 | 1.5404 | 1.9259 | 1.525 | 1.9425 | 1.5095 | 1.9592 |
| 147 | 1.5729 | 1.8932 | 1.5578 | 1.9092 | 1.5427 | 1.9254 | 1.5274 | 1.9418 | 1.512 | 1.9584 |
| 148 | 1.5749 | 1.8929 | 1.56 | 1.9088 | 1.5449 | 1.9248 | 1.5297 | 1.9411 | 1.5144 | 1.9576 |
| 149 | 1.5769 | 1.8926 | 1.562 | 1.9083 | 1.5471 | 1.9243 | 1.532 | 1.9404 | 1.5169 | 1.9568 |
| 150 | 1.5788 | 1.8923 | 1.5641 | 1.908 | 1.5493 | 1.9238 | 1.5343 | 1.9398 | 1.5193 | 1.956 |
| 151 | 1.5808 | 1.892 | 1.5661 | 1.9076 | 1.5514 | 1.9233 | 1.5365 | 1.9392 | 1.5216 | 1.9552 |
| 152 | 1.5827 | 1.8918 | 1.5682 | 1.9072 | 1.5535 | 1.9228 | 1.5388 | 1.9386 | 1.5239 | 1.9545 |
| 153 | 1.5846 | 1.8915 | 1.5701 | 1.9068 | 1.5556 | 1.9223 | 1.541 | 1.9379 | 1.5262 | 1.9538 |
| 154 | 1.5864 | 1.8913 | 1.5721 | 1.9065 | 1.5577 | 1.9218 | 1.5431 | 1.9374 | 1.5285 | 1.9531 |
| 155 | 1.5883 | 1.891 | 1.574 | 1.9061 | 1.5597 | 1.9214 | 1.5453 | 1.9368 | 1.5307 | 1.9524 |
| 156 | 1.5901 | 1.8908 | 1.576 | 1.9058 | 1.5617 | 1.9209 | 1.5474 | 1.9362 | 1.533 | 1.9517 |
| 157 | 1.5919 | 1.8906 | 1.5779 | 1.9054 | 1.5637 | 1.9205 | 1.5495 | 1.9356 | 1.5352 | 1.951 |
| 158 | 1.5937 | 1.8904 | 1.5797 | 1.9051 | 1.5657 | 1.92 | 1.5516 | 1.9351 | 1.5373 | 1.9503 |
| 159 | 1.5954 | 1.8902 | 1.5816 | 1.9048 | 1.5676 | 1.9196 | 1.5536 | 1.9346 | 1.5395 | 1.9497 |
| 160 | 1.5972 | 1.8899 | 1.5834 | 1.9045 | 1.5696 | 1.9192 | 1.5556 | 1.934 | 1.5416 | 1.949 |
| 161 | 1.5989 | 1.8897 | 1.5852 | 1.9042 | 1.5715 | 1.9188 | 1.5576 | 1.9335 | 1.5437 | 1.9484 |
| 162 | 1.6006 | 1.8896 | 1.587 | 1.9039 | 1.5734 | 1.9184 | 1.5596 | 1.933 | 1.5457 | 1.9478 |
| 163 | 1.6023 | 1.8894 | 1.5888 | 1.9036 | 1.5752 | 1.918 | 1.5616 | 1.9325 | 1.5478 | 1.9472 |
| 164 | 1.604 | 1.8892 | 1.5906 | 1.9033 | 1.5771 | 1.9176 | 1.5635 | 1.932 | 1.5498 | 1.9466 |
| 165 | 1.6056 | 1.889 | 1.5923 | 1.903 | 1.5789 | 1.9172 | 1.5654 | 1.9316 | 1.5518 | 1.946 |
| 166 | 1.6072 | 1.8888 | 1.594 | 1.9028 | 1.5807 | 1.9169 | 1.5673 | 1.9311 | 1.5538 | 1.9455 |
| 167 | 1.6089 | 1.8887 | 1.5957 | 1.9025 | 1.5825 | 1.9165 | 1.5692 | 1.9306 | 1.5557 | 1.9449 |
| 168 | 1.6105 | 1.8885 | 1.5974 | 1.9023 | 1.5842 | 1.9161 | 1.571 | 1.9302 | 1.5577 | 1.9444 |
| 169 | 1.612 | 1.8884 | 1.5991 | 1.902 | 1.586 | 1.9158 | 1.5728 | 1.9298 | 1.5596 | 1.9438 |
| 170 | 1.6136 | 1.8882 | 1.6007 | 1.9018 | 1.5877 | 1.9155 | 1.5746 | 1.9293 | 1.5615 | 1.9433 |
| 171 | 1.6151 | 1.8881 | 1.6023 | 1.9015 | 1.5894 | 1.9151 | 1.5764 | 1.9289 | 1.5634 | 1.9428 |
| 172 | 1.6167 | 1.8879 | 1.6039 | 1.9013 | 1.5911 | 1.9148 | 1.5782 | 1.9285 | 1.5652 | 1.9423 |
| 173 | 1.6182 | 1.8878 | 1.6055 | 1.9011 | 1.5928 | 1.9145 | 1.5799 | 1.9281 | 1.567 | 1.9418 |
| 174 | 1.6197 | 1.8876 | 1.6071 | 1.9009 | 1.5944 | 1.9142 | 1.5817 | 1.9277 | 1.5688 | 1.9413 |
| 175 | 1.6212 | 1.8875 | 1.6087 | 1.9006 | 1.5961 | 1.9139 | 1.5834 | 1.9273 | 1.5706 | 1.9408 |
| 176 | 1.6226 | 1.8874 | 1.6102 | 1.9004 | 1.5977 | 1.9136 | 1.5851 | 1.9269 | 1.5724 | 1.9404 |
| 177 | 1.6241 | 1.8873 | 1.6117 | 1.9002 | 1.5993 | 1.9133 | 1.5868 | 1.9265 | 1.5742 | 1.9399 |
| 178 | 1.6255 | 1.8872 | 1.6133 | 1.9 | 1.6009 | 1.913 | 1.5884 | 1.9262 | 1.5759 | 1.9394 |
| 179 | 1.627 | 1.887 | 1.6148 | 1.8998 | 1.6025 | 1.9128 | 1.5901 | 1.9258 | 1.5776 | 1.939 |
| 180 | 1.6284 | 1.8869 | 1.6162 | 1.8996 | 1.604 | 1.9125 | 1.5917 | 1.9255 | 1.5793 | 1.9386 |
| 181 | 1.6298 | 1.8868 | 1.6177 | 1.8995 | 1.6056 | 1.9122 | 1.5933 | 1.9251 | 1.581 | 1.9381 |
| 182 | 1.6312 | 1.8867 | 1.6192 | 1.8993 | 1.6071 | 1.912 | 1.5949 | 1.9248 | 1.5827 | 1.9377 |
| 183 | 1.6325 | 1.8866 | 1.6206 | 1.8991 | 1.6086 | 1.9117 | 1.5965 | 1.9244 | 1.5844 | 1.9373 |
| 184 | 1.6339 | 1.8865 | 1.622 | 1.8989 | 1.6101 | 1.9115 | 1.5981 | 1.9241 | 1.586 | 1.9369 |
| 185 | 1.6352 | 1.8864 | 1.6234 | 1.8988 | 1.6116 | 1.9112 | 1.5996 | 1.9238 | 1.5876 | 1.9365 |
| 186 | 1.6366 | 1.8864 | 1.6248 | 1.8986 | 1.613 | 1.911 | 1.6012 | 1.9235 | 1.5892 | 1.9361 |
| 187 | 1.6379 | 1.8863 | 1.6262 | 1.8984 | 1.6145 | 1.9107 | 1.6027 | 1.9232 | 1.5908 | 1.9357 |
| 188 | 1.6392 | 1.8862 | 1.6276 | 1.8983 | 1.6159 | 1.9105 | 1.6042 | 1.9228 | 1.5924 | 1.9353 |
| 189 | 1.6405 | 1.8861 | 1.6289 | 1.8981 | 1.6173 | 1.9103 | 1.6057 | 1.9226 | 1.5939 | 1.9349 |
| 190 | 1.6418 | 1.886 | 1.6303 | 1.898 | 1.6188 | 1.9101 | 1.6071 | 1.9223 | 1.5955 | 1.9346 |
| 191 | 1.643 | 1.886 | 1.6316 | 1.8978 | 1.6202 | 1.9099 | 1.6086 | 1.922 | 1.597 | 1.9342 |
| 192 | 1.6443 | 1.8859 | 1.6329 | 1.8977 | 1.6215 | 1.9096 | 1.6101 | 1.9217 | 1.5985 | 1.9339 |
| 193 | 1.6455 | 1.8858 | 1.6343 | 1.8976 | 1.6229 | 1.9094 | 1.6115 | 1.9214 | 1.6 | 1.9335 |
| 194 | 1.6468 | 1.8858 | 1.6355 | 1.8974 | 1.6243 | 1.9092 | 1.6129 | 1.9211 | 1.6015 | 1.9332 |
| 195 | 1.648 | 1.8857 | 1.6368 | 1.8973 | 1.6256 | 1.909 | 1.6143 | 1.9209 | 1.603 | 1.9328 |
| 196 | 1.6492 | 1.8856 | 1.6381 | 1.8972 | 1.627 | 1.9088 | 1.6157 | 1.9206 | 1.6044 | 1.9325 |
| 197 | 1.6504 | 1.8856 | 1.6394 | 1.8971 | 1.6283 | 1.9087 | 1.6171 | 1.9204 | 1.6059 | 1.9322 |
| 198 | 1.6516 | 1.8855 | 1.6406 | 1.8969 | 1.6296 | 1.9085 | 1.6185 | 1.9201 | 1.6073 | 1.9318 |
| 199 | 1.6528 | 1.8855 | 1.6419 | 1.8968 | 1.6309 | 1.9083 | 1.6198 | 1.9199 | 1.6087 | 1.9315 |
| 200 | 1.6539 | 1.8854 | 1.6431 | 1.8967 | 1.6322 | 1.9081 | 1.6212 | 1.9196 | 1.6101 | 1.9312 |
- Tabel Durbin Watson dengan Tingkat Signifikansi (α) = 5% dan Variabel Bebas (K = 16 – 20)
| k=16 | k=17 | k=18 | k=19 | k=20 | ||||||
| n | dL | dU | dL | dU | dL | dU | dL | dU | dL | dU |
| 21 | 0.0575 | 3.7054 | ||||||||
| 22 | 0.0832 | 3.6188 | 0.0524 | 3.7309 | ||||||
| 23 | 0.1103 | 3.5355 | 0.0762 | 3.6501 | 0.048 | 3.7533 | ||||
| 24 | 0.1407 | 3.454 | 0.1015 | 3.5717 | 0.0701 | 3.6777 | 0.0441 | 3.773 | ||
| 25 | 0.1723 | 3.376 | 0.13 | 3.4945 | 0.0937 | 3.6038 | 0.0647 | 3.7022 | 0.0407 | 3.7904 |
| 26 | 0.205 | 3.3025 | 0.1598 | 3.4201 | 0.1204 | 3.5307 | 0.0868 | 3.6326 | 0.0598 | 3.724 |
| 27 | 0.2382 | 3.2333 | 0.1907 | 3.3494 | 0.1485 | 3.4597 | 0.1119 | 3.5632 | 0.0806 | 3.6583 |
| 28 | 0.2715 | 3.1681 | 0.2223 | 3.2825 | 0.1779 | 3.3919 | 0.1384 | 3.4955 | 0.1042 | 3.5925 |
| 29 | 0.3046 | 3.107 | 0.2541 | 3.2192 | 0.2079 | 3.3273 | 0.1663 | 3.4304 | 0.1293 | 3.5279 |
| 30 | 0.3374 | 3.0497 | 0.2859 | 3.1595 | 0.2383 | 3.2658 | 0.1949 | 3.3681 | 0.1557 | 3.4655 |
| 31 | 0.3697 | 2.996 | 0.3175 | 3.1032 | 0.2688 | 3.2076 | 0.2239 | 3.3086 | 0.183 | 3.4055 |
| 32 | 0.4013 | 2.9458 | 0.3487 | 3.0503 | 0.2992 | 3.1525 | 0.2532 | 3.2519 | 0.2108 | 3.3478 |
| 33 | 0.4322 | 2.8987 | 0.3793 | 3.0005 | 0.3294 | 3.1005 | 0.2825 | 3.1981 | 0.2389 | 3.2928 |
| 34 | 0.4623 | 2.8545 | 0.4094 | 2.9536 | 0.3591 | 3.0513 | 0.3116 | 3.147 | 0.267 | 3.2402 |
| 35 | 0.4916 | 2.8131 | 0.4388 | 2.9095 | 0.3883 | 3.0048 | 0.3403 | 3.0985 | 0.2951 | 3.1901 |
| 36 | 0.5201 | 2.7742 | 0.4675 | 2.868 | 0.4169 | 2.961 | 0.3687 | 3.0526 | 0.323 | 3.1425 |
| 37 | 0.5477 | 2.7377 | 0.4954 | 2.8289 | 0.4449 | 2.9195 | 0.3966 | 3.0091 | 0.3505 | 3.0972 |
| 38 | 0.5745 | 2.7033 | 0.5225 | 2.7921 | 0.4723 | 2.8804 | 0.424 | 2.9678 | 0.3777 | 3.0541 |
| 39 | 0.6004 | 2.671 | 0.5489 | 2.7573 | 0.499 | 2.8434 | 0.4507 | 2.9288 | 0.4044 | 3.0132 |
| 40 | 0.6256 | 2.6406 | 0.5745 | 2.7246 | 0.5249 | 2.8084 | 0.4769 | 2.8917 | 0.4305 | 2.9743 |
| 41 | 0.6499 | 2.6119 | 0.5994 | 2.6936 | 0.5502 | 2.7753 | 0.5024 | 2.8566 | 0.4562 | 2.9373 |
| 42 | 0.6734 | 2.5848 | 0.6235 | 2.6643 | 0.5747 | 2.7439 | 0.5273 | 2.8233 | 0.4812 | 2.9022 |
| 43 | 0.6962 | 2.5592 | 0.6469 | 2.6366 | 0.5986 | 2.7142 | 0.5515 | 2.7916 | 0.5057 | 2.8688 |
| 44 | 0.7182 | 2.5351 | 0.6695 | 2.6104 | 0.6218 | 2.686 | 0.5751 | 2.7616 | 0.5295 | 2.837 |
| 45 | 0.7396 | 2.5122 | 0.6915 | 2.5856 | 0.6443 | 2.6593 | 0.598 | 2.7331 | 0.5528 | 2.8067 |
| 46 | 0.7602 | 2.4905 | 0.7128 | 2.5621 | 0.6661 | 2.6339 | 0.6203 | 2.7059 | 0.5755 | 2.7779 |
| 47 | 0.7802 | 2.47 | 0.7334 | 2.5397 | 0.6873 | 2.6098 | 0.642 | 2.6801 | 0.5976 | 2.7504 |
| 48 | 0.7995 | 2.4505 | 0.7534 | 2.5185 | 0.7079 | 2.5869 | 0.6631 | 2.6555 | 0.6191 | 2.7243 |
| 49 | 0.8182 | 2.432 | 0.7728 | 2.4983 | 0.7279 | 2.5651 | 0.6836 | 2.6321 | 0.64 | 2.6993 |
| 50 | 0.8364 | 2.4144 | 0.7916 | 2.4791 | 0.7472 | 2.5443 | 0.7035 | 2.6098 | 0.6604 | 2.6755 |
| 51 | 0.854 | 2.3977 | 0.8098 | 2.4608 | 0.766 | 2.5245 | 0.7228 | 2.5885 | 0.6802 | 2.6527 |
| 52 | 0.871 | 2.3818 | 0.8275 | 2.4434 | 0.7843 | 2.5056 | 0.7416 | 2.5682 | 0.6995 | 2.631 |
| 53 | 0.8875 | 2.3666 | 0.8446 | 2.4268 | 0.802 | 2.4876 | 0.7599 | 2.5487 | 0.7183 | 2.6102 |
| 54 | 0.9035 | 2.3521 | 0.8612 | 2.411 | 0.8193 | 2.4704 | 0.7777 | 2.5302 | 0.7365 | 2.5903 |
| 55 | 0.919 | 2.3383 | 0.8774 | 2.3959 | 0.836 | 2.4539 | 0.7949 | 2.5124 | 0.7543 | 2.5713 |
| 56 | 0.9341 | 2.3252 | 0.893 | 2.3814 | 0.8522 | 2.4382 | 0.8117 | 2.4955 | 0.7716 | 2.5531 |
| 57 | 0.9487 | 2.3126 | 0.9083 | 2.3676 | 0.868 | 2.4232 | 0.828 | 2.4792 | 0.7884 | 2.5356 |
| 58 | 0.9629 | 2.3005 | 0.923 | 2.3544 | 0.8834 | 2.4088 | 0.8439 | 2.4636 | 0.8047 | 2.5189 |
| 59 | 0.9767 | 2.289 | 0.9374 | 2.3417 | 0.8983 | 2.395 | 0.8593 | 2.4487 | 0.8207 | 2.5028 |
| 60 | 0.9901 | 2.278 | 0.9514 | 2.3296 | 0.9128 | 2.3817 | 0.8744 | 2.4344 | 0.8362 | 2.4874 |
| 61 | 1.0031 | 2.2674 | 0.9649 | 2.318 | 0.9269 | 2.369 | 0.889 | 2.4206 | 0.8513 | 2.4726 |
| 62 | 1.0157 | 2.2573 | 0.9781 | 2.3068 | 0.9406 | 2.3569 | 0.9032 | 2.4074 | 0.866 | 2.4584 |
| 63 | 1.028 | 2.2476 | 0.991 | 2.2961 | 0.9539 | 2.3452 | 0.917 | 2.3947 | 0.8803 | 2.4447 |
| 64 | 1.04 | 2.2383 | 1.0035 | 2.2858 | 0.9669 | 2.334 | 0.9305 | 2.3826 | 0.8943 | 2.4316 |
| 65 | 1.0517 | 2.2293 | 1.0156 | 2.276 | 0.9796 | 2.3232 | 0.9437 | 2.3708 | 0.9079 | 2.4189 |
| 66 | 1.063 | 2.2207 | 1.0274 | 2.2665 | 0.9919 | 2.3128 | 0.9565 | 2.3595 | 0.9211 | 2.4068 |
| 67 | 1.074 | 2.2125 | 1.039 | 2.2574 | 1.0039 | 2.3028 | 0.9689 | 2.3487 | 0.934 | 2.395 |
| 68 | 1.0848 | 2.2045 | 1.0502 | 2.2486 | 1.0156 | 2.2932 | 0.9811 | 2.3382 | 0.9466 | 2.3837 |
| 69 | 1.0952 | 2.1969 | 1.0612 | 2.2401 | 1.027 | 2.2839 | 0.993 | 2.3281 | 0.9589 | 2.3728 |
| 70 | 1.1054 | 2.1895 | 1.0718 | 2.232 | 1.0382 | 2.275 | 1.0045 | 2.3184 | 0.9709 | 2.3623 |
| 71 | 1.1154 | 2.1824 | 1.0822 | 2.2241 | 1.049 | 2.2663 | 1.0158 | 2.309 | 0.9826 | 2.3522 |
| 72 | 1.1251 | 2.1756 | 1.0924 | 2.2166 | 1.0596 | 2.258 | 1.0268 | 2.3 | 0.994 | 2.3424 |
| 73 | 1.1346 | 2.169 | 1.1023 | 2.2093 | 1.0699 | 2.25 | 1.0375 | 2.2912 | 1.0052 | 2.3329 |
| 74 | 1.1438 | 2.1626 | 1.1119 | 2.2022 | 1.08 | 2.2423 | 1.048 | 2.2828 | 1.0161 | 2.3238 |
| 75 | 1.1528 | 2.1565 | 1.1214 | 2.1954 | 1.0898 | 2.2348 | 1.0583 | 2.2747 | 1.0267 | 2.3149 |
| 76 | 1.1616 | 2.1506 | 1.1306 | 2.1888 | 1.0994 | 2.2276 | 1.0683 | 2.2668 | 1.0371 | 2.3064 |
| 77 | 1.1702 | 2.1449 | 1.1395 | 2.1825 | 1.1088 | 2.2206 | 1.078 | 2.2591 | 1.0472 | 2.2981 |
| 78 | 1.1786 | 2.1393 | 1.1483 | 2.1763 | 1.118 | 2.2138 | 1.0876 | 2.2518 | 1.0571 | 2.2901 |
| 79 | 1.1868 | 2.134 | 1.1569 | 2.1704 | 1.1269 | 2.2073 | 1.0969 | 2.2446 | 1.0668 | 2.2824 |
| 80 | 1.1948 | 2.1288 | 1.1653 | 2.1647 | 1.1357 | 2.201 | 1.106 | 2.2377 | 1.0763 | 2.2749 |
| 81 | 1.2026 | 2.1238 | 1.1735 | 2.1591 | 1.1442 | 2.1949 | 1.1149 | 2.231 | 1.0856 | 2.2676 |
| 82 | 1.2103 | 2.119 | 1.1815 | 2.1537 | 1.1526 | 2.1889 | 1.1236 | 2.2246 | 1.0946 | 2.2606 |
| 83 | 1.2178 | 2.1143 | 1.1893 | 2.1485 | 1.1608 | 2.1832 | 1.1322 | 2.2183 | 1.1035 | 2.2537 |
| 84 | 1.2251 | 2.1098 | 1.197 | 2.1435 | 1.1688 | 2.1776 | 1.1405 | 2.2122 | 1.1122 | 2.2471 |
| 85 | 1.2323 | 2.1054 | 1.2045 | 2.1386 | 1.1766 | 2.1722 | 1.1487 | 2.2063 | 1.1206 | 2.2407 |
| 86 | 1.2393 | 2.1011 | 1.2119 | 2.1338 | 1.1843 | 2.167 | 1.1567 | 2.2005 | 1.129 | 2.2345 |
| 87 | 1.2462 | 2.097 | 1.2191 | 2.1293 | 1.1918 | 2.1619 | 1.1645 | 2.195 | 1.1371 | 2.2284 |
| 88 | 1.2529 | 2.093 | 1.2261 | 2.1248 | 1.1992 | 2.157 | 1.1722 | 2.1896 | 1.1451 | 2.2225 |
| 89 | 1.2595 | 2.0891 | 1.233 | 2.1205 | 1.2064 | 2.1522 | 1.1797 | 2.1843 | 1.1529 | 2.2168 |
| 90 | 1.2659 | 2.0853 | 1.2397 | 2.1163 | 1.2134 | 2.1476 | 1.187 | 2.1793 | 1.1605 | 2.2113 |
| 91 | 1.2723 | 2.0817 | 1.2464 | 2.1122 | 1.2204 | 2.1431 | 1.1942 | 2.1743 | 1.168 | 2.2059 |
| 92 | 1.2785 | 2.0781 | 1.2529 | 2.1082 | 1.2271 | 2.1387 | 1.2013 | 2.1695 | 1.1754 | 2.2007 |
| 93 | 1.2845 | 2.0747 | 1.2592 | 2.1044 | 1.2338 | 2.1344 | 1.2082 | 2.1648 | 1.1826 | 2.1956 |
| 94 | 1.2905 | 2.0713 | 1.2654 | 2.1006 | 1.2403 | 2.1303 | 1.215 | 2.1603 | 1.1897 | 2.1906 |
| 95 | 1.2963 | 2.0681 | 1.2716 | 2.097 | 1.2467 | 2.1262 | 1.2217 | 2.1559 | 1.1966 | 2.1858 |
| 96 | 1.3021 | 2.0649 | 1.2776 | 2.0935 | 1.2529 | 2.1223 | 1.2282 | 2.1515 | 1.2034 | 2.1811 |
| 97 | 1.3077 | 2.0619 | 1.2834 | 2.09 | 1.2591 | 2.1185 | 1.2346 | 2.1474 | 1.21 | 2.1765 |
| 98 | 1.3132 | 2.0589 | 1.2892 | 2.0867 | 1.2651 | 2.1148 | 1.2409 | 2.1433 | 1.2166 | 2.1721 |
| 99 | 1.3186 | 2.056 | 1.2949 | 2.0834 | 1.271 | 2.1112 | 1.247 | 2.1393 | 1.223 | 2.1677 |
| 100 | 1.3239 | 2.0531 | 1.3004 | 2.0802 | 1.2768 | 2.1077 | 1.2531 | 2.1354 | 1.2293 | 2.1635 |
| 101 | 1.3291 | 2.0504 | 1.3059 | 2.0772 | 1.2825 | 2.1043 | 1.259 | 2.1317 | 1.2355 | 2.1594 |
| 102 | 1.3342 | 2.0477 | 1.3112 | 2.0741 | 1.2881 | 2.1009 | 1.2649 | 2.128 | 1.2415 | 2.1554 |
| 103 | 1.3392 | 2.0451 | 1.3165 | 2.0712 | 1.2936 | 2.0977 | 1.2706 | 2.1244 | 1.2475 | 2.1515 |
| 104 | 1.3442 | 2.0426 | 1.3216 | 2.0684 | 1.299 | 2.0945 | 1.2762 | 2.121 | 1.2534 | 2.1477 |
| 105 | 1.349 | 2.0401 | 1.3267 | 2.0656 | 1.3043 | 2.0914 | 1.2817 | 2.1175 | 1.2591 | 2.144 |
| 106 | 1.3538 | 2.0377 | 1.3317 | 2.0629 | 1.3095 | 2.0884 | 1.2872 | 2.1142 | 1.2648 | 2.1403 |
| 107 | 1.3585 | 2.0353 | 1.3366 | 2.0602 | 1.3146 | 2.0855 | 1.2925 | 2.111 | 1.2703 | 2.1368 |
| 108 | 1.3631 | 2.033 | 1.3414 | 2.0577 | 1.3196 | 2.0826 | 1.2978 | 2.1078 | 1.2758 | 2.1333 |
| 109 | 1.3676 | 2.0308 | 1.3461 | 2.0552 | 1.3246 | 2.0798 | 1.3029 | 2.1048 | 1.2811 | 2.13 |
| 110 | 1.372 | 2.0286 | 1.3508 | 2.0527 | 1.3294 | 2.0771 | 1.308 | 2.1018 | 1.2864 | 2.1267 |
| 111 | 1.3764 | 2.0265 | 1.3554 | 2.0503 | 1.3342 | 2.0744 | 1.3129 | 2.0988 | 1.2916 | 2.1235 |
| 112 | 1.3807 | 2.0244 | 1.3599 | 2.048 | 1.3389 | 2.0718 | 1.3178 | 2.0959 | 1.2967 | 2.1203 |
| 113 | 1.3849 | 2.0224 | 1.3643 | 2.0457 | 1.3435 | 2.0693 | 1.3227 | 2.0931 | 1.3017 | 2.1173 |
| 114 | 1.3891 | 2.0204 | 1.3686 | 2.0435 | 1.3481 | 2.0668 | 1.3274 | 2.0904 | 1.3066 | 2.1143 |
| 115 | 1.3932 | 2.0185 | 1.3729 | 2.0413 | 1.3525 | 2.0644 | 1.3321 | 2.0877 | 1.3115 | 2.1113 |
| 116 | 1.3972 | 2.0166 | 1.3771 | 2.0392 | 1.3569 | 2.062 | 1.3366 | 2.0851 | 1.3162 | 2.1085 |
| 117 | 1.4012 | 2.0148 | 1.3813 | 2.0371 | 1.3613 | 2.0597 | 1.3411 | 2.0826 | 1.3209 | 2.1057 |
| 118 | 1.4051 | 2.013 | 1.3854 | 2.0351 | 1.3655 | 2.0575 | 1.3456 | 2.0801 | 1.3256 | 2.1029 |
| 119 | 1.4089 | 2.0112 | 1.3894 | 2.0331 | 1.3697 | 2.0553 | 1.35 | 2.0776 | 1.3301 | 2.1002 |
| 120 | 1.4127 | 2.0095 | 1.3933 | 2.0312 | 1.3739 | 2.0531 | 1.3543 | 2.0752 | 1.3346 | 2.0976 |
| 121 | 1.4164 | 2.0079 | 1.3972 | 2.0293 | 1.3779 | 2.051 | 1.3585 | 2.0729 | 1.339 | 2.0951 |
| 122 | 1.4201 | 2.0062 | 1.401 | 2.0275 | 1.3819 | 2.0489 | 1.3627 | 2.0706 | 1.3433 | 2.0926 |
| 123 | 1.4237 | 2.0046 | 1.4048 | 2.0257 | 1.3858 | 2.0469 | 1.3668 | 2.0684 | 1.3476 | 2.0901 |
| 124 | 1.4272 | 2.0031 | 1.4085 | 2.0239 | 1.3897 | 2.0449 | 1.3708 | 2.0662 | 1.3518 | 2.0877 |
| 125 | 1.4307 | 2.0016 | 1.4122 | 2.0222 | 1.3936 | 2.043 | 1.3748 | 2.0641 | 1.356 | 2.0854 |
| 126 | 1.4342 | 2.0001 | 1.4158 | 2.0205 | 1.3973 | 2.0411 | 1.3787 | 2.062 | 1.36 | 2.0831 |
| 127 | 1.4376 | 1.9986 | 1.4194 | 2.0188 | 1.401 | 2.0393 | 1.3826 | 2.0599 | 1.3641 | 2.0808 |
| 128 | 1.4409 | 1.9972 | 1.4229 | 2.0172 | 1.4047 | 2.0374 | 1.3864 | 2.0579 | 1.368 | 2.0786 |
| 129 | 1.4442 | 1.9958 | 1.4263 | 2.0156 | 1.4083 | 2.0357 | 1.3902 | 2.0559 | 1.3719 | 2.0764 |
| 130 | 1.4475 | 1.9944 | 1.4297 | 2.0141 | 1.4118 | 2.0339 | 1.3939 | 2.054 | 1.3758 | 2.0743 |
| 131 | 1.4507 | 1.9931 | 1.4331 | 2.0126 | 1.4153 | 2.0322 | 1.3975 | 2.0521 | 1.3796 | 2.0722 |
| 132 | 1.4539 | 1.9918 | 1.4364 | 2.0111 | 1.4188 | 2.0306 | 1.4011 | 2.0503 | 1.3833 | 2.0702 |
| 133 | 1.457 | 1.9905 | 1.4397 | 2.0096 | 1.4222 | 2.0289 | 1.4046 | 2.0485 | 1.387 | 2.0682 |
| 134 | 1.4601 | 1.9893 | 1.4429 | 2.0082 | 1.4255 | 2.0273 | 1.4081 | 2.0467 | 1.3906 | 2.0662 |
| 135 | 1.4631 | 1.988 | 1.446 | 2.0068 | 1.4289 | 2.0258 | 1.4116 | 2.045 | 1.3942 | 2.0643 |
| 136 | 1.4661 | 1.9868 | 1.4492 | 2.0054 | 1.4321 | 2.0243 | 1.415 | 2.0433 | 1.3978 | 2.0624 |
| 137 | 1.4691 | 1.9857 | 1.4523 | 2.0041 | 1.4353 | 2.0227 | 1.4183 | 2.0416 | 1.4012 | 2.0606 |
| 138 | 1.472 | 1.9845 | 1.4553 | 2.0028 | 1.4385 | 2.0213 | 1.4216 | 2.0399 | 1.4047 | 2.0588 |
| 139 | 1.4748 | 1.9834 | 1.4583 | 2.0015 | 1.4416 | 2.0198 | 1.4249 | 2.0383 | 1.4081 | 2.057 |
| 140 | 1.4777 | 1.9823 | 1.4613 | 2.0002 | 1.4447 | 2.0184 | 1.4281 | 2.0368 | 1.4114 | 2.0553 |
| 141 | 1.4805 | 1.9812 | 1.4642 | 1.999 | 1.4478 | 2.017 | 1.4313 | 2.0352 | 1.4147 | 2.0536 |
| 142 | 1.4832 | 1.9801 | 1.4671 | 1.9978 | 1.4508 | 2.0156 | 1.4344 | 2.0337 | 1.418 | 2.0519 |
| 143 | 1.486 | 1.9791 | 1.4699 | 1.9966 | 1.4538 | 2.0143 | 1.4375 | 2.0322 | 1.4212 | 2.0503 |
| 144 | 1.4887 | 1.9781 | 1.4727 | 1.9954 | 1.4567 | 2.013 | 1.4406 | 2.0307 | 1.4244 | 2.0486 |
| 145 | 1.4913 | 1.9771 | 1.4755 | 1.9943 | 1.4596 | 2.0117 | 1.4436 | 2.0293 | 1.4275 | 2.0471 |
| 146 | 1.4939 | 1.9761 | 1.4782 | 1.9932 | 1.4625 | 2.0105 | 1.4466 | 2.0279 | 1.4306 | 2.0455 |
| 147 | 1.4965 | 1.9751 | 1.4809 | 1.9921 | 1.4653 | 2.0092 | 1.4495 | 2.0265 | 1.4337 | 2.044 |
| 148 | 1.4991 | 1.9742 | 1.4836 | 1.991 | 1.4681 | 2.008 | 1.4524 | 2.0252 | 1.4367 | 2.0425 |
| 149 | 1.5016 | 1.9733 | 1.4862 | 1.99 | 1.4708 | 2.0068 | 1.4553 | 2.0238 | 1.4396 | 2.041 |
| 150 | 1.5041 | 1.9724 | 1.4889 | 1.9889 | 1.4735 | 2.0056 | 1.4581 | 2.0225 | 1.4426 | 2.0396 |
| 151 | 1.5066 | 1.9715 | 1.4914 | 1.9879 | 1.4762 | 2.0045 | 1.4609 | 2.0212 | 1.4455 | 2.0381 |
| 152 | 1.509 | 1.9706 | 1.494 | 1.9869 | 1.4788 | 2.0034 | 1.4636 | 2.02 | 1.4484 | 2.0367 |
| 153 | 1.5114 | 1.9698 | 1.4965 | 1.9859 | 1.4815 | 2.0022 | 1.4664 | 2.0187 | 1.4512 | 2.0354 |
| 154 | 1.5138 | 1.9689 | 1.499 | 1.985 | 1.4841 | 2.0012 | 1.4691 | 2.0175 | 1.454 | 2.034 |
| 155 | 1.5161 | 1.9681 | 1.5014 | 1.984 | 1.4866 | 2.0001 | 1.4717 | 2.0163 | 1.4567 | 2.0327 |
| 156 | 1.5184 | 1.9673 | 1.5038 | 1.9831 | 1.4891 | 1.999 | 1.4743 | 2.0151 | 1.4595 | 2.0314 |
| 157 | 1.5207 | 1.9665 | 1.5062 | 1.9822 | 1.4916 | 1.998 | 1.4769 | 2.014 | 1.4622 | 2.0301 |
| 158 | 1.523 | 1.9657 | 1.5086 | 1.9813 | 1.4941 | 1.997 | 1.4795 | 2.0129 | 1.4648 | 2.0289 |
| 159 | 1.5252 | 1.965 | 1.5109 | 1.9804 | 1.4965 | 1.996 | 1.482 | 2.0117 | 1.4675 | 2.0276 |
| 160 | 1.5274 | 1.9642 | 1.5132 | 1.9795 | 1.4989 | 1.995 | 1.4845 | 2.0106 | 1.4701 | 2.0264 |
| 161 | 1.5296 | 1.9635 | 1.5155 | 1.9787 | 1.5013 | 1.9941 | 1.487 | 2.0096 | 1.4726 | 2.0252 |
| 162 | 1.5318 | 1.9628 | 1.5178 | 1.9779 | 1.5037 | 1.9931 | 1.4894 | 2.0085 | 1.4752 | 2.0241 |
| 163 | 1.5339 | 1.9621 | 1.52 | 1.9771 | 1.506 | 1.9922 | 1.4919 | 2.0075 | 1.4777 | 2.0229 |
| 164 | 1.536 | 1.9614 | 1.5222 | 1.9762 | 1.5083 | 1.9913 | 1.4943 | 2.0064 | 1.4802 | 2.0218 |
| 165 | 1.5381 | 1.9607 | 1.5244 | 1.9755 | 1.5105 | 1.9904 | 1.4966 | 2.0054 | 1.4826 | 2.0206 |
| 166 | 1.5402 | 1.96 | 1.5265 | 1.9747 | 1.5128 | 1.9895 | 1.499 | 2.0045 | 1.4851 | 2.0195 |
| 167 | 1.5422 | 1.9594 | 1.5287 | 1.9739 | 1.515 | 1.9886 | 1.5013 | 2.0035 | 1.4875 | 2.0185 |
| 168 | 1.5443 | 1.9587 | 1.5308 | 1.9732 | 1.5172 | 1.9878 | 1.5036 | 2.0025 | 1.4898 | 2.0174 |
| 169 | 1.5463 | 1.9581 | 1.5329 | 1.9724 | 1.5194 | 1.9869 | 1.5058 | 2.0016 | 1.4922 | 2.0164 |
| 170 | 1.5482 | 1.9574 | 1.5349 | 1.9717 | 1.5215 | 1.9861 | 1.508 | 2.0007 | 1.4945 | 2.0153 |
| 171 | 1.5502 | 1.9568 | 1.537 | 1.971 | 1.5236 | 1.9853 | 1.5102 | 1.9997 | 1.4968 | 2.0143 |
| 172 | 1.5521 | 1.9562 | 1.539 | 1.9703 | 1.5257 | 1.9845 | 1.5124 | 1.9988 | 1.4991 | 2.0133 |
| 173 | 1.554 | 1.9556 | 1.541 | 1.9696 | 1.5278 | 1.9837 | 1.5146 | 1.998 | 1.5013 | 2.0123 |
| 174 | 1.5559 | 1.9551 | 1.5429 | 1.9689 | 1.5299 | 1.983 | 1.5167 | 1.9971 | 1.5035 | 2.0114 |
| 175 | 1.5578 | 1.9545 | 1.5449 | 1.9683 | 1.5319 | 1.9822 | 1.5189 | 1.9962 | 1.5057 | 2.0104 |
| 176 | 1.5597 | 1.9539 | 1.5468 | 1.9676 | 1.5339 | 1.9815 | 1.5209 | 1.9954 | 1.5079 | 2.0095 |
| 177 | 1.5615 | 1.9534 | 1.5487 | 1.967 | 1.5359 | 1.9807 | 1.523 | 1.9946 | 1.51 | 2.0086 |
| 178 | 1.5633 | 1.9528 | 1.5506 | 1.9664 | 1.5379 | 1.98 | 1.5251 | 1.9938 | 1.5122 | 2.0076 |
| 179 | 1.5651 | 1.9523 | 1.5525 | 1.9657 | 1.5398 | 1.9793 | 1.5271 | 1.993 | 1.5143 | 2.0068 |
| 180 | 1.5669 | 1.9518 | 1.5544 | 1.9651 | 1.5418 | 1.9786 | 1.5291 | 1.9922 | 1.5164 | 2.0059 |
| 181 | 1.5687 | 1.9513 | 1.5562 | 1.9645 | 1.5437 | 1.9779 | 1.5311 | 1.9914 | 1.5184 | 2.005 |
| 182 | 1.5704 | 1.9507 | 1.558 | 1.9639 | 1.5456 | 1.9772 | 1.533 | 1.9906 | 1.5205 | 2.0042 |
| 183 | 1.5721 | 1.9503 | 1.5598 | 1.9633 | 1.5474 | 1.9766 | 1.535 | 1.9899 | 1.5225 | 2.0033 |
| 184 | 1.5738 | 1.9498 | 1.5616 | 1.9628 | 1.5493 | 1.9759 | 1.5369 | 1.9891 | 1.5245 | 2.0025 |
| 185 | 1.5755 | 1.9493 | 1.5634 | 1.9622 | 1.5511 | 1.9753 | 1.5388 | 1.9884 | 1.5265 | 2.0017 |
| 186 | 1.5772 | 1.9488 | 1.5651 | 1.9617 | 1.5529 | 1.9746 | 1.5407 | 1.9877 | 1.5284 | 2.0009 |
| 187 | 1.5788 | 1.9483 | 1.5668 | 1.9611 | 1.5547 | 1.974 | 1.5426 | 1.987 | 1.5304 | 2.0001 |
| 188 | 1.5805 | 1.9479 | 1.5685 | 1.9606 | 1.5565 | 1.9734 | 1.5444 | 1.9863 | 1.5323 | 1.9993 |
| 189 | 1.5821 | 1.9474 | 1.5702 | 1.96 | 1.5583 | 1.9728 | 1.5463 | 1.9856 | 1.5342 | 1.9985 |
| 190 | 1.5837 | 1.947 | 1.5719 | 1.9595 | 1.56 | 1.9722 | 1.5481 | 1.9849 | 1.5361 | 1.9978 |
| 191 | 1.5853 | 1.9465 | 1.5736 | 1.959 | 1.5618 | 1.9716 | 1.5499 | 1.9842 | 1.5379 | 1.997 |
| 192 | 1.5869 | 1.9461 | 1.5752 | 1.9585 | 1.5635 | 1.971 | 1.5517 | 1.9836 | 1.5398 | 1.9963 |
| 193 | 1.5885 | 1.9457 | 1.5768 | 1.958 | 1.5652 | 1.9704 | 1.5534 | 1.9829 | 1.5416 | 1.9956 |
| 194 | 1.59 | 1.9453 | 1.5785 | 1.9575 | 1.5668 | 1.9699 | 1.5551 | 1.9823 | 1.5434 | 1.9948 |
| 195 | 1.5915 | 1.9449 | 1.5801 | 1.957 | 1.5685 | 1.9693 | 1.5569 | 1.9817 | 1.5452 | 1.9941 |
| 196 | 1.5931 | 1.9445 | 1.5816 | 1.9566 | 1.5701 | 1.9688 | 1.5586 | 1.981 | 1.547 | 1.9934 |
| 197 | 1.5946 | 1.9441 | 1.5832 | 1.9561 | 1.5718 | 1.9682 | 1.5603 | 1.9804 | 1.5487 | 1.9928 |
| 198 | 1.5961 | 1.9437 | 1.5848 | 1.9556 | 1.5734 | 1.9677 | 1.562 | 1.9798 | 1.5505 | 1.9921 |
| 199 | 1.5975 | 1.9433 | 1.5863 | 1.9552 | 1.575 | 1.9672 | 1.5636 | 1.9792 | 1.5522 | 1.9914 |
| 200 | 1.599 | 1.9429 | 1.5878 | 1.9547 | 1.5766 | 1.9667 | 1.5653 | 1.9787 | 1.5539 | 1.9908 |
Rumus Durbin Watson
Uji deteksi autokorelasi menggunakan tabel Durbin Watson atau tabel DW memiliki hipotesis yang bisa disimpulkan. Adapun hipotesis dari uji deteksi autokorelasi menggunakan metode uji ini adalah sebagai berikut:
H0 = tidak terdapat autokorelasi
H1 = terdapat autokorelasi
Untuk menganalisis suatu data menggunakan tabel DW, diperlukan persamaan statistik uji. Adapun persamaan terhadap statistik uji yang digunakan adalah sebagai berikut:
Dimana,
- et = residual pada pengamatan ke-t
- n = banyaknya data dalam analisis (jumlah elemen dalam sampel)
Dengan menggunakan pendekatan dari rumus/persamaan yang sama, uji DW bisa dilakukan menggunakan berbagai software statistik. Berikut beberapa cara menghitungnya melalui beberapa program pengolahan data statistika:
- R (R Analytics), perhitungannya terdapat pada lmtest package dan car package.
- MATLAB, bisa diakses melalui fungsi dwtest yang terdapat pada statistics toolbox.
- Mathematica, bisa diakses dalam opsi LinearModelFit function.
- SAS, dapat dihitung melalui opsi yang muncul ketika menggunakan proc mode dan ketika menggunakan prog reg.
- Eviews, dapat otomatis dihitung saat melakukan regresi ols.
- Microsoft Excel, bisa dihitung secara otomatis dengan menggunakan formula “=SUMXMY2(x_array,y_array)/SUMSQ(array)”.
- SPSS, perhitungannya termasuk dalam opsi dalam fungsi regresi.
Cara Membaca Tabel Durbin Watson
Setelah mengetahui definisi serta rumus yang terkait, saatnya mengetahui cara membaca tabelnya. Agar dapat membaca tabel DW, berikut beberapa komponen yang wajib diketahui di dalam tabelnya:
- T = jumlah sampel (n), yaitu banyaknya sampel yang ada dalam analisis dan berada pada kolom pertama di tabelnya.
- Jumlah variabel (k), yaitu menunjukkan banyaknya variabel atau predictor, baik itu variabel independen ataupun variabel bebas di dalam analisis regresi tersebut.
- dL, batas bawah DW.
- dU, batas atas DW.
Setelah statistik ujinya diperoleh, langkah selanjutnya yaitu membaca tabel DW untuk membandingkan hasilnya. Berikut cara membaca dan cara menyimpulkan deteksi autokorelasi berdasarkan nilai DW pada tabelnya:
- Apabila nilai DW terletak antara batas atas atau upper bound (du) dan (4 – du), maka koefisien autokorelasinya sama dengan nol (tidak ada autokorelasi).
- Apabila nilai DW lebih rendah daripada batas bawah atau lower bound (dl), maka koefisien autokorelasinya lebih besar daripada nol (ada autokorelasi positif).
- Apabila nilai DW lebih besar daripada (4 – dl), maka koefisien autokorelasinya lebih kecil daripada nol (ada autokorelasi negatif).
- Apabila nilai DW terletak di antara batas atas (du) dan batas bawah (dl) ada DW terletak antara (4 – du) dan (4 – dl), maka hasilnya tidak dapat disimpulkan.
- Apabila nilai DW terletak antara (4-du) dan (4 – dl), maka itu berarti hasilnya tidak dapat disimpulkan.
Baca Juga : Cara Membaca Tabel Chi Square
Contoh Autokorelasi Menggunakan Tabel Durbin Watson
Contoh kasus, misalnya dilakukan uji regresi linear berganda dengan adanya 2 variabel indpenden serta 1 variabel dependen. Jumlah sampelnya adalah sebanyak 50 dan diperoleh hasil DW hitungan sebesar d = 2,010.
Dari data di atas, maka diketahui nilai T = 50 dan k = 3. Selanjutnya pada tabel DW, carilah nilai dL dan dU pada T = 50 dan k = 3. Sehingga diperoleh dL = 1,46246 dan dU = 1,62833 dengan d = 2,010.
Oleh karena itu, pertama-tama hitung terlebih dahulu nilai 4 – d, yaitu sama dengan 4 – 2,010 = 1,990. Kemudian, cara menentukan atau kriteria uji autokorelasinya yaitu sebagai berikut.
- Deteksi autokorelasi positif: jika Jika d < dL maka terdapat autokorelasi positif, jika d > dU maka tidak terdapat autokorelasi positif, dan jika dL < d < dU maka pengujian tidak meyakinkan atau tidak dapat disimpulkan.
- Deteksi autokorelasi negatif: jika (4 – d) < dL maka terdapat autokorelasi negatif, jika (4 – d) > dU maka tidak terdapat autokorelasi negatif, dan jika dL < (4 – d) < dU maka pengujian tidak meyakinkan atau tidak dapat disimpulkan.
Berdasarkan data pada contoh di atas, maka bisa disimpulkan deteksi autokorelasinya. Berikut hasil uji deteksi autokorelasinya baik positif maupun negatif:
- Deteksi autokorelasi positif
- Jika 2,010 < 1,46246 maka artinya terdapat autokorelasi positif (Salah).
- Jika 2,010 > 1,62833 maka artinya tidak terdapat autokorelasi positif (Benar).
- Jika 1,46246 < 2,010 < 1,62833 maka artinya pengujian tidak meyakinkan atau tidak dapat disimpulkan (Salah).
- Maksudnya, karena DW: 2,010 > DU: 1,62833, maka artinya tidak terdapat autokorelasi positif.
- Deteksi autokorelasi negatif
- Jika 1,990 < 1,46246 maka artinya terdapat autokorelasi negatif (Salah).
- Jika 1,990 > 1,62833 maka artinya tidak terdapat autokorelasi negatif (Benar).
- Jika 1,46246 < 1,990 < 1,62833 maka artinya pengujian tidak meyakinkan atau tidak dapat disimpulkan (Salah).
- Maksudnya, karena 4-DW: 2,010 yaitu 1,990 > DU: 1,62833, maka tidak terdapat autokorelasi negatif.
Berdasarkan analisis di atas bisa disimpulkan bahwa pada analisis regresi tersebut tidak terdapat autokorelasi baik itu positif maupun negatif.
Jangan Lewatkan Materi Tentang Tabel Statistika Lainnya :
| R Tabel | T Tabel |
| F Tabel | Tabel Z |
Demikianlah serangkaian informasi mengenai materi tabel durbin watson lengkap dengan panduan bagaimana cara membaca tabel serta contoh soal dan pembahasan mengenai uji autokorelasi negatif dan positif. Semoga apa yang wikistatistika ulas diatas dapat bermanfaat untuk anda semuanya.
