13. Below you are given a partial computer output based on a sample of 16 observations.

| | Coefficient | Standard Error |
| --- | --- | --- |
| Constant | 12.924 | 4.425 |
| X₁ | -3.682 | 2.630 |
| X₂ | 45.216 | 12.560 |

The estimated regression equation is
(A) \(y = \beta_0 + \beta_1x_1 + \beta_2x_2 + \varepsilon\)
(B) \(E(y) = \beta_0 + \beta_1x_1 + \beta_2x_2 + \varepsilon\)
(C) \(\hat{y} = 12.924 - 3.682x_{1} + 45.216x_{2}\)
(D) \(\hat{y} = 4.425 - 2.63x_{1} + 12.56x_{2}\)

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