A trucking company wants to predict the yearly maintenance expense (Y ) for a truck using the number of miles driven during the year (X 1 ) and the age of the truck (X 2 , in years) at the beginning...

A trucking company wants to predict the yearly maintenance expense (Y ) for a truck using the number of miles driven during the year (X₁) and the age of the truck (X₂, in years) at the beginning of the year. The company has gathered the data given in the file P16_13.xlsx. Note that each observation corresponds to a particular truck. Estimate a multiple regression model using the given data. Interpret each of the estimated regression coefficients. Also, interpret the standard error of estimate and the R-square value for these data.