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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.| Coefficients | Standard Error | t Statistic | p-value | |
| Intercept | 707.9144 | 435.1183 | 1.626947 | 0.114567 |
| x1 | 2.903307 | 81.62802 | 0.035568 | 0.971871 |
| x12 | 11.91297 | 3.806211 | 3.129878 | 0.003967 |
| df | SS | MS | F | p-value | |
| Regression | 2 | 32055153 | 16027577 | 47.34557 | 1.49E-09 |
| Residual | 27 | 9140128 | 338523.3 | ||
| Total | 29 | 41195281 |
These results indicate that ____________.
a) none of the predictor variables is significant at the 5% level
b) each predictor variable is significant at the 5% level
c) x1 is the only predictor variable significant at the 5% level
d) x12 is the only predictor variable significant at the 5% level
e) each predictor variable is insignificant at the 5% level
Answer
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Related questions
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Q:
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Q:
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