For a combination of α (level of significance) = 0.05, n (sample size) = 25 and k (number of independent variables in the model) = 1, the upper critical value (dU) of the Durbin-Watson statistic equals _______.

When successive residuals are positively autocorrelated then Durbin-Watson statistic will be ________. a. less than 2 b. greater than 2 c. 2 d. -1

If the residuals in time period 1, 2, 3 and 4 are 5, 4, 3 and 1, respectively, what would be the value of Durbin-Watson statistic? Round your final result to two decimal places.

How can the Durbin-Watson statistic be best interpreted?A test for heteroscedasticityA measure of model fitA test for the normality of residualsA test for the presence of autocorrelation in the residuals

What is the implication of a high Durbin-Watson statistic in a regression model?Presence of multicollinearity.Presence of heteroscedasticity.Absence of autocorrelation.High goodness of fit.

For a combination of α (level of significance) = 0.05, n (sample size) = 25, k (number of independent variables in the model) = 1 and D (Durbin-Watson statistic) = 2.60 , what statistical decision should be made when testing the null hypothesis of no positive autocorrelation? a. Accept the null hypothesis. b. Do not reject the null hypothesis. c. Accept the alternative hypothesis. d. Neither reject nor not reject the null hypothesis.