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Question

A local parent group was concerned with the increasing school cost for families with school aged children. The parent group was interested in understanding the relationship between the academic grade level for the child and the total costs spent per child per academic year. They performed a multiple regression analysis using total cost as the dependent variable and academic year (x1) as the independent variables. The multiple regression analysis produced the following tables.


CoefficientsStandard Errort Statisticp-value
Intercept707.9144435.11831.6269470.114567
x12.90330781.628020.0355680.971871
x1211.912973.8062113.1298780.003967


DfSSMSFp-value
Regression2320551531602757747.345571.49E-09
Residual279140128338523.3

Total2941195281



The regression equation for this analysis is ____________.
a) y = 707.9144 + 2.903307 x1 + 11.91297 x12
b) y = 707.9144 + 435.1183 x1 + 1.626947 x12
c) y = 435.1183 + 81.62802 x1 + 3.806211 x12
d) y = 1.626947 + 0.035568 x1 + 3.129878 x12
e) y = 1.626947 + 0.035568 x1 - 3.129878 x12

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