Variances and Regression Residuals

Durbin-Watson Table: Critical Values dL and dU

Lower and upper bounds for the Durbin-Watson test for first-order autocorrelation in regression residuals.

  • n = 6 to 200
  • k′ = 1 to 10 regressors
  • Calculator for any n

Durbin-Watson Table

Jump to a significance level below. Rows: number of observations n · Columns: number of regressors k′ (excluding the intercept), with dL and dU for each.

α = 0.05

α = 0.05
k′ = 1k′ = 2k′ = 3k′ = 4k′ = 5k′ = 6k′ = 7k′ = 8k′ = 9k′ = 10
ndLdUdLdUdLdUdLdUdLdUdLdUdLdUdLdUdLdUdLdU
60.6101.400——————————————————
70.7001.3560.4671.896————————————————
80.7631.3320.5591.7770.3672.287——————————————
90.8241.3200.6291.6990.4552.1280.2962.588————————————
100.8791.3200.6971.6410.5252.0160.3762.4140.2432.822——————————
110.9271.3240.7581.6040.5951.9280.4442.2830.3152.6450.2033.004————————
120.9711.3310.8121.5790.6581.8640.5122.1770.3802.5060.2682.8320.1713.149——————
131.0101.3400.8611.5620.7151.8160.5742.0940.4442.3900.3282.6920.2302.9850.1473.266————
141.0451.3500.9051.5510.7671.7790.6322.0300.5052.2960.3892.5720.2862.8480.2003.1110.1273.360——
151.0771.3610.9461.5430.8141.7500.6851.9770.5622.2200.4472.4710.3432.7270.2512.9790.1753.2160.1113.438
161.1061.3710.9821.5390.8571.7280.7341.9350.6152.1570.5022.3880.3982.6240.3042.8600.2223.0900.1553.304
171.1331.3811.0151.5360.8971.7100.7791.9000.6642.1040.5542.3180.4512.5370.3562.7570.2722.9750.1983.184
181.1581.3911.0461.5350.9331.6960.8201.8720.7102.0600.6032.2580.5022.4610.4072.6680.3212.8730.2443.073
191.1801.4011.0741.5360.9671.6850.8591.8480.7522.0230.6492.2060.5492.3960.4562.5890.3692.7830.2902.974
201.2011.4111.1001.5370.9981.6760.8941.8280.7921.9910.6912.1620.5952.3390.5022.5210.4162.7040.3362.885
211.2211.4201.1251.5381.0261.6690.9271.8120.8291.9630.7312.1240.6372.2900.5462.4610.4612.6330.3802.806
221.2391.4291.1471.5411.0531.6640.9581.7970.8631.9400.7692.0900.6772.2460.5882.4070.5042.5710.4242.735
231.2571.4371.1681.5431.0781.6600.9861.7850.8951.9200.8042.0610.7152.2080.6282.3600.5452.5140.4652.670
241.2731.4461.1881.5461.1011.6561.0131.7750.9251.9020.8372.0350.7502.1740.6662.3180.5842.4640.5062.613
251.2881.4541.2061.5501.1231.6541.0381.7670.9531.8860.8682.0130.7842.1440.7022.2800.6212.4190.5442.560
261.3021.4611.2241.5531.1431.6521.0621.7590.9791.8730.8971.9920.8162.1170.7352.2460.6572.3790.5812.513
271.3161.4691.2401.5561.1621.6511.0841.7531.0041.8610.9251.9740.8452.0930.7672.2160.6912.3420.6162.470
281.3281.4761.2551.5601.1811.6501.1041.7471.0281.8500.9511.9590.8742.0710.7982.1880.7232.3090.6492.431
291.3411.4831.2701.5631.1981.6501.1241.7431.0501.8410.9751.9440.9002.0520.8262.1640.7532.2780.6812.396
301.3521.4891.2841.5671.2141.6501.1431.7391.0711.8330.9981.9310.9262.0340.8542.1410.7822.2510.7122.363
311.3631.4961.2971.5701.2291.6501.1601.7351.0901.8251.0201.9200.9502.0180.8792.1200.8102.2260.7412.333
321.3731.5021.3091.5741.2441.6501.1771.7321.1091.8191.0411.9090.9722.0040.9042.1020.8362.2030.7692.306
331.3831.5081.3211.5771.2581.6511.1931.7301.1271.8131.0611.9000.9941.9910.9272.0850.8612.1810.7962.281
341.3931.5141.3331.5801.2711.6521.2081.7281.1441.8081.0791.8911.0151.9780.9502.0690.8852.1620.8212.257
351.4021.5191.3431.5841.2831.6531.2221.7261.1601.8031.0971.8841.0341.9670.9712.0540.9082.1440.8452.236
361.4111.5251.3541.5871.2951.6541.2361.7241.1751.7991.1141.8761.0531.9570.9912.0410.9302.1270.8682.216
371.4191.5301.3641.5901.3071.6551.2491.7231.1901.7951.1311.8701.0711.9481.0112.0290.9512.1120.8912.197
381.4271.5351.3731.5941.3181.6561.2611.7221.2041.7921.1461.8641.0881.9391.0292.0170.9702.0980.9122.180
391.4351.5401.3821.5971.3281.6581.2731.7221.2181.7891.1611.8591.1041.9321.0472.0070.9902.0850.9322.164
401.4421.5441.3911.6001.3381.6591.2851.7211.2301.7861.1751.8541.1201.9241.0641.9971.0082.0720.9522.149
451.4751.5661.4301.6151.3831.6661.3361.7201.2871.7761.2381.8351.1891.8951.1391.9581.0892.0221.0382.088
501.5031.5851.4621.6281.4211.6741.3781.7211.3351.7711.2911.8221.2461.8751.2011.9301.1561.9861.1102.044
551.5281.6011.4901.6411.4521.6811.4141.7241.3741.7681.3341.8141.2941.8611.2531.9091.2121.9591.1702.010
601.5491.6161.5141.6521.4801.6891.4441.7271.4081.7671.3721.8081.3351.8501.2981.8941.2601.9391.2221.984
651.5671.6291.5361.6621.5031.6961.4711.7311.4381.7671.4041.8051.3701.8431.3361.8821.3011.9231.2661.964
701.5831.6411.5541.6721.5251.7031.4941.7351.4641.7681.4331.8021.4011.8381.3691.8741.3371.9101.3051.948
751.5981.6521.5711.6801.5431.7091.5151.7391.4871.7701.4581.8011.4281.8341.3991.8671.3691.9011.3391.935
801.6111.6621.5861.6881.5601.7151.5341.7431.5071.7721.4801.8011.4531.8311.4251.8611.3971.8931.3691.925
851.6241.6711.6001.6961.5751.7211.5501.7471.5251.7741.5001.8011.4741.8291.4481.8571.4221.8861.3961.916
901.6351.6791.6121.7031.5891.7261.5661.7511.5421.7761.5181.8011.4941.8271.4691.8541.4451.8811.4201.909
951.6451.6871.6231.7091.6021.7321.5791.7551.5571.7781.5351.8021.5121.8271.4891.8521.4651.8771.4421.903
1001.6541.6941.6341.7151.6131.7361.5921.7581.5711.7801.5501.8031.5281.8261.5061.8501.4841.8741.4621.898
1501.7201.7471.7061.7601.6931.7741.6791.7881.6651.8021.6511.8171.6371.8321.6221.8461.6081.8621.5931.877
2001.7581.7791.7481.7891.7381.7991.7281.8091.7181.8201.7071.8311.6971.8411.6861.8521.6751.8631.6651.874

α = 0.01

α = 0.01
k′ = 1k′ = 2k′ = 3k′ = 4k′ = 5k′ = 6k′ = 7k′ = 8k′ = 9k′ = 10
ndLdUdLdUdLdUdLdUdLdUdLdUdLdUdLdUdLdUdLdU
60.3901.142——————————————————
70.4351.0360.2941.676————————————————
80.4971.0030.3451.4890.2292.102——————————————
90.5540.9980.4081.3890.2791.8750.1832.433————————————
100.6051.0010.4661.3320.3401.7330.2302.1930.1502.690——————————
110.6531.0100.5191.2970.3961.6400.2862.0290.1932.4530.1242.892————————
120.6971.0230.5691.2740.4491.5750.3391.9130.2442.2800.1642.6650.1053.053——————
130.7381.0380.6161.2610.4991.5260.3911.8260.2942.1500.2112.4900.1402.8380.0903.182————
140.7761.0540.6601.2540.5471.4900.4411.7570.3432.0490.2572.3540.1832.6670.1222.9820.0783.287——
150.8111.0700.7001.2520.5911.4640.4881.7040.3911.9660.3032.2440.2262.5300.1612.8170.1073.1010.0683.374
160.8431.0860.7371.2520.6331.4460.5321.6630.4371.9000.3492.1530.2692.4160.2002.6810.1422.9440.0943.201
170.8741.1020.7721.2550.6721.4320.5741.6300.4801.8470.3932.0780.3132.3190.2412.5660.1792.8110.1273.053
180.9021.1170.8041.2590.7081.4220.6131.6040.5221.8030.4352.0150.3552.2380.2822.4670.2172.6970.1602.925
190.9281.1320.8351.2650.7421.4150.6501.5830.5611.7670.4761.9630.3962.1690.3222.3810.2552.5970.1962.813
200.9521.1470.8631.2700.7731.4110.6851.5670.5981.7370.5151.9180.4362.1100.3622.3080.2942.5100.2322.713
210.9751.1610.8901.2770.8031.4080.7181.5540.6331.7120.5521.8810.4742.0590.4002.2440.3312.4340.2682.625
220.9971.1740.9141.2840.8311.4070.7481.5430.6671.6910.5871.8490.5102.0150.4372.1880.3682.3670.3052.548
231.0171.1870.9381.2910.8581.4070.7771.5340.6981.6730.6201.8210.5451.9770.4732.1400.4042.3080.3402.478
241.0371.1990.9601.2980.8821.4070.8051.5280.7281.6580.6521.7970.5781.9440.5072.0970.4392.2550.3752.417
251.0551.2110.9811.3050.9061.4090.8311.5220.7561.6450.6821.7770.6101.9150.5402.0590.4732.2090.4092.362
261.0721.2221.0011.3120.9281.4110.8551.5180.7831.6350.7111.7590.6401.8890.5712.0260.5052.1680.4412.313
271.0891.2331.0191.3190.9491.4130.8781.5150.8081.6260.7381.7430.6691.8670.6021.9970.5362.1310.4732.269
281.1041.2441.0371.3250.9691.4150.9001.5130.8321.6180.7641.7300.6961.8470.6301.9700.5662.0980.5042.229
291.1191.2541.0541.3320.9881.4180.9211.5120.8551.6110.7881.7180.7231.8300.6581.9470.5952.0680.5332.193
301.1331.2631.0701.3391.0061.4210.9411.5110.8771.6060.8121.7070.7481.8140.6841.9250.6222.0410.5622.160
311.1471.2731.0851.3451.0231.4250.9601.5100.8971.6010.8341.6980.7721.8000.7101.9060.6492.0170.5892.131
321.1601.2821.1001.3521.0401.4280.9791.5100.9171.5970.8561.6900.7941.7870.7341.8890.6741.9950.6162.104
331.1721.2911.1141.3581.0551.4320.9961.5100.9361.5940.8761.6830.8161.7760.7571.8740.6981.9750.6412.080
341.1841.2991.1281.3641.0701.4351.0121.5110.9541.5910.8961.6770.8371.7660.7791.8600.7221.9570.6652.057
351.1951.3071.1401.3701.0851.4391.0281.5120.9711.5890.9141.6710.8571.7570.8011.8470.7441.9400.6892.037
361.2061.3151.1531.3761.0981.4421.0431.5130.9881.5880.9321.6660.8771.7490.8211.8360.7661.9250.7112.018
371.2171.3231.1651.3821.1121.4461.0581.5141.0041.5860.9501.6620.8951.7420.8411.8250.7871.9110.7332.001
381.2271.3301.1761.3881.1241.4491.0721.5151.0191.5850.9661.6580.9131.7350.8601.8160.8071.8990.7541.985
391.2371.3371.1871.3931.1371.4531.0851.5171.0341.5840.9821.6550.9301.7290.8781.8070.8261.8870.7741.970
401.2461.3441.1981.3981.1481.4571.0981.5181.0481.5840.9971.6520.9461.7240.8951.7990.8441.8760.7941.956
451.2881.3761.2451.4231.2011.4741.1561.5281.1111.5841.0651.6431.0201.7040.9731.7680.9271.8340.8811.902
501.3241.4031.2851.4461.2451.4911.2051.5381.1641.5871.1231.6391.0811.6921.0391.7480.9971.8050.9551.864
551.3561.4271.3201.4661.2841.5061.2471.5481.2091.5921.1721.6381.1341.6851.0951.7341.0571.7851.0181.837
601.3831.4491.3501.4841.3171.5201.2831.5581.2491.5981.2141.6391.1791.6821.1441.7261.1081.7711.0721.817
651.4071.4681.3771.5001.3461.5341.3151.5681.2831.6041.2511.6421.2181.6801.1861.7201.1531.7611.1201.803
701.4291.4851.4001.5151.3721.5461.3431.5781.3131.6111.2831.6451.2531.6801.2231.7161.1921.7531.1621.792
751.4481.5011.4221.5291.3951.5571.3681.5871.3401.6171.3121.6491.2841.6811.2561.7141.2271.7481.1991.783
801.4661.5151.4411.5411.4161.5681.3901.5951.3641.6241.3381.6531.3121.6831.2861.7141.2591.7451.2321.777
851.4821.5281.4581.5531.4351.5781.4111.6031.3861.6301.3621.6571.3371.6851.3121.7141.2871.7431.2611.773
901.4961.5401.4741.5631.4521.5871.4291.6111.4061.6361.3831.6611.3601.6871.3361.7141.3121.7411.2881.769
951.5101.5521.4891.5731.4681.5961.4461.6181.4251.6421.4031.6661.3811.6901.3581.7151.3361.7411.3131.767
1001.5221.5621.5031.5831.4821.6041.4621.6251.4411.6471.4211.6701.4001.6931.3781.7171.3571.7411.3351.765
1501.6111.6371.5981.6511.5841.6651.5711.6791.5571.6931.5431.7071.5291.7221.5151.7371.5011.7521.4871.767
2001.6641.6841.6541.6941.6441.7041.6331.7141.6231.7251.6131.7351.6031.7461.5921.7571.5821.7681.5711.779

Tip: click any value to highlight its row and column.

How to read this table

  1. Fit the regression (with an intercept) and compute d = Σ(eₜ − eₜ₋₁)² / Σeₜ² from the residuals in time order.
  2. Find the row for n and the pair of columns for k′, the number of regressors not counting the intercept.
  3. If d < dL, there is significant positive autocorrelation. If d > dU, there is not. If dL ≤ d ≤ dU, the test is inconclusive.
  4. For negative autocorrelation, apply the same rules to 4 − d.

Worked example

A regression of weekly enrolment on 2 predictors over 30 weeks gives d = 1.21. Row 30, k′ = 2 gives dL = 1.284 and dU = 1.567. Because 1.21 < 1.284, the residuals show significant positive autocorrelation.

Click the underlined links to highlight the value in the table.

Calculator

For values between the rows and columns of the table. Results update as you type.

Formula and how the values were computed

d = Σₜ (eₜ − eₜ₋₁)² / Σₜ eₜ²  ·  d ≈ 2(1 − ρ̂)

Bounds are computed exactly (Imhof's method) from the bounding distributions of Durbin and Watson, using the eigenvalues 2(1 − cos(πj/n)) of the difference matrix. They reproduce the Savin and White (1977) tables to three decimals.

Frequently asked questions

Why is there an inconclusive region?

The exact distribution of d depends on the regressors. dL and dU bound it for any design, so between them the answer depends on your particular X. Software can compute the exact p-value for your design.

When is the Durbin-Watson test not valid?

When the model includes a lagged dependent variable or has no intercept. Use the Breusch-Godfrey test or Durbin's h instead.

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