An automobile rental company wants to predict theyearly maintenance expense (Y) for an automobile using thenumber of miles driven during the year (x1) and theage of the car (x2), 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	0.9689
R-Square	0.9387
Adj R-Square	0.9212
StErr of Estimate	72.218
Regression coefficients
	Coefficient	Std Err	t-value	p-value
Constant	33.796	48.181	0.7014	0.5057
Miles Driven	0.0549	0.0191	2.8666	0.0241
Age of car	21.467	20.573	1.0434	0.3314

Use the information above tospecify the linear regression equation andinterpret each of the estimated regressioncoefficients of the regression model. Is there anyvariable that we need to consider excluding?Explain why you think so