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(A)Estimate the regression model.How well does this model fit the given data?
(B)Is there a linear relationship between the two explanatory variables and the dependent variable at the 5% significance level? Explain how you arrived at your answer.
(C)Use the estimated regression model to predict the annual maintenance expense of a truck that is driven 14,000 miles per year and is 5 years old.
(D)Find a 95% prediction interval for the maintenance expense determined in (C).Use a t-multiple = 2.
(E)Find a 95% confidence interval for the maintenance expense for all trucks sharing the characteristics provided in Question 96.Use a t-multiple = 2.
(F)How do you explain the differences between the widths of the intervals in (D)and (E)?
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