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 _______. Use our textbook statistical table to answer the question.
Question
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 _______. Use our textbook statistical table to answer the question.
Solution
I'm sorry, but as an AI, I don't have access to your textbook or any specific statistical tables. However, you can usually find the Durbin-Watson statistic's upper critical value (dU) in the Durbin-Watson table by looking up your specific combination of α (level of significance), n (sample size), and k (number of independent variables). The table should provide the critical values for the Durbin-Watson statistic. If the calculated Durbin-Watson statistic is less than the lower critical value or greater than the upper critical value, you would reject the null hypothesis of no autocorrelation.
Similar Questions
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
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.
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.
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