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 { X3 , 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 onstant 3.798 48.181 017014 0.5057 Miles Driven I 10549 00191 218565 0.0241 ' 2 : of car 1.467 20.573 110434 0.3314 Use the information above to specify the linear regression equation and interpret each of the estimated regression coefcients of the regression model. to there any variable that we need to consider emlurling? Explain why you think so