Q1) Trucking company wishes to predict yearly maintenance expense (Y ) for truck using number of miles driven in the year (X1) and age of truck (X2,in years) at the commencement of the year. Company has collected the data. Note that each observation corresponds to particular truck.
a) Prepare and evaluate a multiple regression model by using given data. Interpret each of evaluated regression coefficients.
b) Calculate and interpret standard error of estimate se and coefficient of determination R2 for these data.
|
Yearly Maintenance Expense for Randomly Selected Trucks
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|
Truck
|
Maintenance_Expense
|
Miles_Driven
|
Age_of_Truck
|
|
1
|
$908.56
|
10,500
|
10
|
|
2
|
$751.12
|
9,700
|
7
|
|
3
|
$793.55
|
9,200
|
8
|
|
4
|
$619.61
|
8,300
|
9
|
|
5
|
$380.11
|
6,500
|
5
|
|
6
|
$368.72
|
4,500
|
2
|
|
7
|
$235.32
|
3,500
|
2
|
|
8
|
$174.93
|
2,200
|
3
|
|
9
|
$256.30
|
1,800
|
2
|