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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 |
The regression equation for this analysis is ____________.
a) y = 616.6849 + 3.33833 x1 + 1.780075 x2
b) y = 154.5535 - 1.43058 x1 + 5.30407 x2
c) y = 616.6849 - 3.33833 x1 - 1.780075 x2
d) y = 154.5535 + 2.333548 x1 + 0.335605 x2
e) y = 616.6849 - 3.33833 x1 + 1.780075 x2
Answer
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