The Durbin-Watson test is used to detect:
A)heteroscedasticity.
B)specification bias.
C)autocorrelation.
D)multicollinearity.

Question

Quizplus · Accepted Answer

The Durbin-Watson test is specifically designed to detect autocorrelation, which is the tendency of errors in a regression model to be correlated over time or across observations. Heteroscedasticity, specification bias, and multicollinearity are different issues that require different diagnostic tools.

The Durbin-Watson Test Is Used to Detect