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

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

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.

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 _______.

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) = 1.30 , what statistical decision should be made when testing the null hypothesis of no negative autocorrelation? a. Accept the null hypothesis. b. Neither reject nor not reject the null hypothesis. c. Do not reject the null hypothesis. d. Accept the alternative hypothesis.