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 information given in the file P10_16.xlsx. Each observation corresponds to a particular truck.

Estimate a multiple regression equation using the given data. Round your answers to three decimal places, if necessary.

= _____ +_____ X₁ +______ X₂

Find 95% confidence intervals for the regression coefficients of X₁ and X₂. Round your answers to three decimal places, if necessary.

Variable	Lower	Upper
Miles Driven
Age of Truck

Based on these interval estimates, which variable, if any, would you choose to remove from the equation estimated in part a? Why?

The Miles Driven variable _________(SHOULD/SHOULD NOT) be removed from the model because the confidence interval ______(CONTAINS/DOES NOT CONTAIN) zero.

The Age of Truck variable _________(SHOULD/SHOULD NOT) be removed from the model because the confidence interval ______(CONTAINS/DOES NOT CONTAIN) zero.

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