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Question
A multiple regression analysis produced the following tables.| Predictor | Coefficients | Standard Error | t Statistic | p-value |
| Intercept | 624.5369 | 78.49712 | 7.956176 | 6.88E-06 |
| x1 | 8.569122 | 1.652255 | 5.186319 | 0.000301 |
| x2 | 4.736515 | 0.699194 | 6.774248 | 3.06E-05 |
| Source | df | SS | MS | F | p-value |
| Regression | 2 | 1660914 | 830457.1 | 58.31956 | 1.4E-06 |
| Residual | 11 | 156637.5 | 14239.77 | ||
| Total | 13 | 1817552 |
These results indicate that ____________.
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 5% level
Answer
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