The degrees of freedom for the sum of squares explained by the regression (SSR) are:
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Below you are given a partial Excel output based on a sample of 16 observations.
ANOVA | ||||
---|---|---|---|---|
df | SS | MS | F |
|
Regression | 4,853 | 2,426.5 | ||
Residual | 485.3 | |||
[row intentionally left blank] | ||||
Coefficients | Standard Error |
|||
Intercept | 12.924 | 4.425 | ||
x1 | -3.682 | 2.630 | ||
x2 | 45.216 | 12.560 |
Refer to Exhibit 3. The degrees of freedom for the sum of squares explained by the regression (SSR) are:
Select one:
a.
2
b.
13
c.
15
d.
3
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