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How do you interpret Durbin Watson p-value?
The Durbin-Watson statistic will always have a value ranging between 0 and 4. A value of 2.0 indicates there is no autocorrelation detected in the sample. Values from 0 to less than 2 point to positive autocorrelation and values from 2 to 4 means negative autocorrelation.
What does the Durbin Watson test tell us?
The Durbin Watson statistic is a test statistic used in statistics to detect autocorrelation in the residuals from a regression analysis. The Durbin Watson statistic will always assume a value between 0 and 4. A value of DW = 2 indicates that there is no autocorrelation.
Is the Durbin-Watson test a p value test?
The Durbin-Watson test tests for autocorrelation. However due to the particular nature of autocorrelation (positive and negative autocorrelation) there is a special test statistic: The Durbin-Watson statistic. Therefore the Durbin-Watson test has a value of the test statistic, but no p-value.
When to use the Durbin Watson hypothesis test?
Usually a hypothesis test indicates a failure to reject the null hypothesis when the p-value is 0. The Durbin-Watson test tests for autocorrelation. However due to the particular nature of autocorrelation (positive and negative autocorrelation) there is a special test statistic: The Durbin-Watson statistic.
What is the value of the Durban Watson statistic?
Interpreting the Durban Watson Statistic The Durban Watson statistic will always assume a value between 0 and 4. A value of DW = 2 indicates that there is no autocorrelation. When the value is below 2, it indicates a positive autocorrelation, and a value higher than 2 indicates a negative serial correlation.
What is the p value of the null hypothesis?
The p-value is the lower α ( significance level or alpha level) for which you should reject the null hypothesis. It’s just a red line: if you’re ok with α = 0.1, α = 0.05, α = 0.01 or any α > 2.2e-16, well, it doesn’t matter.