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

The application of multiple regression analysis to a time-series data set yields a calculated Durbin-Watson statistic that is equal to 1.00. If the lower test value at the 1 percent level is 1.28 and the upper value is 1.51, then there is evidence that

A) multicollinearity is present.
B) multicollinearity is absent.
C) autocorrelation is present.
D) autocorrelation is absent.