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Question
A multiple regression analysis produced the following tables.| Predictor | Coefficients | Standard Error | t Statistic | p-value |
| Intercept | -139.609 | 2548.989 | -0.05477 | 0.957154 |
| x1 | 24.24619 | 22.25267 | 1.089586 | 0.295682 |
| x2 | 32.10171 | 17.44559 | 1.840105 | 0.08869 |
| Source | df | SS | MS | F | p-value |
| Regression | 2 | 302689 | 151344.5 | 1.705942 | 0.219838 |
| Residual | 13 | 1153309 | 88716.07 | ||
| Total | 15 | 1455998 |
The regression equation for this analysis is ____________.
a) y = 302689 + 1153309 x1 + 1455998 x2
b) y = -139.609 + 24.24619 x1 + 32.10171 x2
c) y = 2548.989 + 22.25267 x1 + 17.44559 x2
d) y = -0.05477 + 1.089586 x1 + 1.840105 x2
e) y = 0.05477 + 1.089586 x1 + 1.840105 x2
Answer
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