Refer to Exhibit 15-16. The degrees of freedom for the sum of squares explained by the regression (SSR) are 13 2 3 15
Refer to Exhibit 15-16. The degrees of freedom for the sum of squares explained by the regression (SSR) are 13 2 3 15
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 15-16**
Below you are given a partial Excel output based on a sample of 8 observations.
**ANOVA**
\[
\begin{array}{cccc}
& \text{df} & \text{SS} & \text{MS} & \text{F} \\
\hline
\text{Regression} & & 2590.78 & 1295.39 & \\
\text{Residual} & & 1204.24 & & \\
\end{array}
\]
**Coefficients/Standard Error**
\[
\begin{array}{cc}
\text{Intercept} & 0.11 & 42.00 \\
x_1 & 6.89 & 5.68 \\
x_2 & 2.28 & 1.85 \\
\end{array}
\]
Refer to Exhibit 15-16. The degrees of freedom for the sum of squares explained by the regression (SSR) are ____.
- \( \circ \) 13
- \( \circ \) 2
- \( \circ \) 3
- \( \circ \) 15](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F550702b7-3ea9-42b8-88f0-99eaacc13a5a%2F0dea5da1-40cf-4d22-aa55-5db20ad4c78d%2F5drsnrd_processed.png&w=3840&q=75)
Transcribed Image Text:**Exhibit 15-16**
Below you are given a partial Excel output based on a sample of 8 observations.
**ANOVA**
\[
\begin{array}{cccc}
& \text{df} & \text{SS} & \text{MS} & \text{F} \\
\hline
\text{Regression} & & 2590.78 & 1295.39 & \\
\text{Residual} & & 1204.24 & & \\
\end{array}
\]
**Coefficients/Standard Error**
\[
\begin{array}{cc}
\text{Intercept} & 0.11 & 42.00 \\
x_1 & 6.89 & 5.68 \\
x_2 & 2.28 & 1.85 \\
\end{array}
\]
Refer to Exhibit 15-16. The degrees of freedom for the sum of squares explained by the regression (SSR) are ____.
- \( \circ \) 13
- \( \circ \) 2
- \( \circ \) 3
- \( \circ \) 15
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