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Question
A multiple regression analysis produced the following tables.| Predictor | Coefficients | Standard Error | t Statistic | p-value |
| Intercept | 752.0833 | 336.3158 | 2.236241 | 0.042132 |
| x1 | 11.87375 | 5.32047 | 2.231711 | 0.042493 |
| x2 | 1.908183 | 0.662742 | 2.879226 | 0.01213 |
| Source | df | SS | MS | F | p-value |
| Regression | 2 | 203693.3 | 101846.7 | 6.745406 | 0.010884 |
| Residual | 12 | 181184.1 | 15098.67 | ||
| Total | 14 | 384877.4 |
a) none of the predictor variables are 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) x2 is the only predictor variable significant at the 5% level
e) the intercept is not significant at the 5% level
Answer
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