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Question
A multiple regression analysis produced the following tables.| Predictor | Coefficients | Standard Error | t Statistic | p-value |
| Intercept | 616.6849 | 154.5534 | 3.990108 | 0.000947 |
| x1 | -3.33833 | 2.333548 | -1.43058 | 0.170675 |
| x2 | 1.780075 | 0.335605 | 5.30407 | 5.83E-05 |
| Source | df | SS | MS | F | p-value |
| Regression | 2 | 121783 | 60891.48 | 14.76117 | 0.000286 |
| Residual | 15 | 61876.68 | 4125.112 | ||
| Total | 17 | 183659.6 |
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 significant at the 5% level
d) x2 is significant at the 5% level
e) the intercept is not significant at 5% level
Answer
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