Ds 533 Fall 2004 Exam # 3

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DS 533

Fall 2004

Exam # 3

Name: ___________________

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An automobile rental company wants to predict the yearly maintenance expense (Y) for an automobile using the number of miles driven during the year (

) and the age of the car (

, in years) at the beginning of the year. The company has gathered the data on 10 automobiles and the regression information from Excel is presented below. Use this information to answer the following questions.

Summary measures
Multiple R	0.9689
R-Square	0.9387
Adj R-Square	0.9212
Standard Error	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 to estimate the linear regression model.

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F-Dehkordi -> Project proposal Guidelines Fall 2009 Title page

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