Durbin-Watson Test Significance Table

The Durbin-Watson tests the null hypothesis to check whether the residuals from an ordinary least-squares regression are not autocorrelated against the alternative. The Durbin-Watson statistics ranges in value from 0 to 4. A value near 2 indicates non-autocorrelation; a value toward 0 indicates positive autocorrelation; a value toward 4 indicates negative autocorrelation. Here BLUS stands for Best Linear Unbiased with Scalar covariance matrix.

Durbin-Watson Test Significance Table

No1%2.5%5%10%
50.53690.66380.81981.0506
60.56040.72070.88981.0991
70.61370.77900.93551.1403
80.66420.82420.98131.1830
90.70890.86951.02431.2184
100.75190.91101.06191.2509
110.79170.94851.09641.2799
120.82840.98291.12741.3058
130.86191.01441.15581.3294
140.89361.04321.18161.3508
is0.92251.06981.20531.3703
160.94941.09441.22711.3882
170.97461.11711.24731.4047
180.99791.13841.26601.4199
191.02011.15811.28341.4341
201.04071.17671.29961.4473
211.06021.19401.31481.4596
221.07851.21041.32911.4711
231.09581.22581.34251.4819
241.11221.24031.35511.4921
251.12771.25401.36711.5018
261.14251.26711.37841.5109
271.15661.27951.38911.5195
281.17001.29131.39941.5277
291.18281.30251.40911.5355
301.19501.31321.41831.5429
311.20681.32351.42721.5500
321.21801.33331.43571.5567
331.22871.34271.44371.5632
341.23901.35171.45151.5694
351.24891.36031.45891.5753
361.25851.36871.46611.5810
371.26771.37671.47301.5865
381.27661.38441.47961.5917
391.28511.39181.48591.5968
401.29341.39901.49211.6017
411.30141.40591.49801.6064
421.30911.41261.50381.6110
431.31661.41911.50931.6154
441.32381.42531.51461.6196
451.33081.43141.51981.6237
461.33761.43731.52491.6277
471.34421.44301.52971.6316
481.35061.44851.53451.6353
491.35681.45391.53911.6389
501.36281.45911.54351.6425
511.36871.46411.54781.6459
521.37451.46911.55201.6492
531.38001.47381.55611.6525
541.38551.47851.56011.6556
551.39071.48311.56401.6587
561.39591.48751.56771.6617
571.40091.49181.57141.6646
581.40581.49601.57501.6674
591.41061.50021.57851.6701
601.41521.50421.58191.6728


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