What is the Durbin-Watson Table and how is it used?

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The Durbin-Watson Table is a statistical tool used to determine the presence of autocorrelation in a regression analysis. It is a table that provides critical values for the Durbin-Watson statistic, which is a measure of the correlation between the residuals (errors) of a regression model. The table is used by researchers and analysts to compare the calculated Durbin-Watson statistic to the critical values in order to determine if there is significant autocorrelation present in the model. Autocorrelation can affect the accuracy and reliability of regression results, so the Durbin-Watson Table is a valuable tool for ensuring the validity of regression analyses.

Durbin-Watson Table

The following table provides the critical values for the Durbin-Watson Test for a given sample size (n), number of independent variables (k), and alpha level.

Durbin-Watson critical value table for alpha = .01

Durbin-Watson table for critical value = .05

Durbin-Watson critical value table for alpha = .05

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