The application of multiple regression analysis to a time-series data set yields a calculated Durbin-Watson statistic that is equal to 2.00. From this result, it is clear that
A) multicollinearity is present.
B) multicollinearity is absent.
C) autocorrelation is present.
D) autocorrelation is absent.

Question

Quizplus · Accepted Answer

The Durbin-Watson statistic is used to detect the presence of autocorrelation in the residuals from a regression analysis. A value of approximately 2.00 suggests that there is no autocorrelation present.

The Application of Multiple Regression Analysis to a Time-Series Data