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
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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4c6c3461-7492-496f-98bc-6ef78f2648e2%2F3d09c1a5-3087-435b-87ff-9828b2f8d0cf%2Fbg0r0wp_processed.png&w=3840&q=75)
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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