In a regression model involving 44 observations, the following estimated regression equation was obtained: ŷ= 10-4x12x2 + 8x3 + 8x4 For this model, SSR = 500 and SSE = 3500. Refer to Exhibit 15-33. The computed F statistic for testing the significance of the above model is 2.61 43.75 7.00 1.39

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**Exhibit 15-33**

In a regression model involving 44 observations, the following estimated regression equation was obtained:

\[
\hat{y} = 10 - 4x_1 - 2x_2 + 8x_3 + 8x_4
\]

For this model, SSR (Sum of Squares for Regression) = 500 and SSE (Sum of Squares for Error) = 3500.

**Question:**

Refer to Exhibit 15-33. The computed F statistic for testing the significance of the above model is _____.

**Options:**

- ○ 2.61
- ○ 43.75
- ○ 7.00
- ● 1.39

(Note: The correct option is indicated by a filled circle.)
Transcribed Image Text:**Exhibit 15-33** In a regression model involving 44 observations, the following estimated regression equation was obtained: \[ \hat{y} = 10 - 4x_1 - 2x_2 + 8x_3 + 8x_4 \] For this model, SSR (Sum of Squares for Regression) = 500 and SSE (Sum of Squares for Error) = 3500. **Question:** Refer to Exhibit 15-33. The computed F statistic for testing the significance of the above model is _____. **Options:** - ○ 2.61 - ○ 43.75 - ○ 7.00 - ● 1.39 (Note: The correct option is indicated by a filled circle.)
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