An automobile rental company wants to predict the yearly maintenance expense (Y) for an automobile using the number of miles driven during the year (X1) and the age of the car (Xy, in years) at the beginning of the year. The company has gathered the data on 10 automobiles and run a regression analysis with the results shown below: Summary measures Multiple R R-Square Adj R-Square StErr of Estimate 0.9689 0.9387 0.9212 72.218 Regression coefficients t-value Coefficient 33.796 10.0549 121.467 Std Err 48.181 0.0191 Constant Miles Driven Age of car p-value 0.5057 0.0241 0.3314 0.7014 2.8666 1.0434 20.573 (A) Use the information above to estimate the linear regression model. (B) Interpret each of the estimated regression coefficients of the regression model in (A) (C) Identify and interpret the coefficient of determination (R) (D) Identify and interpret the standard error of the estimate (se) for the model in (A). TT TT Paragraph Arial # 3 (12pt) T Click Save and Submit to save and submit. Click Save All Answers to save all answers. W stv A MAY Aa 15 MacBook Pro Q Search or type URL esc