Exhibit 13-10
In a regression model involving 30 observations, the following estimated regression equation was obtained.
$\hat { Y }$ =170+34X1 - 3X2+8X3+58X4+3X5
For this model, SSR = 1,740 and SST = 2,000.
-Refer to Exhibit 13-10. The degrees of freedom associated with SSE are
A) 24
B) 6
C) 19
D) 5

Question

Exhibit 13-10
In a regression model involving 30 observations, the following estimated regression equation was obtained.
 $\hat { Y }$ =170+34X1 - 3X2+8X3+58X4+3X5
For this model, SSR = 1,740 and SST = 2,000.
-Refer to Exhibit 13-10. The degrees of freedom associated with SSE are
A) 24
B) 6
C) 19
D) 5

Quizplus · Accepted Answer

The degrees of freedom for SSE (error sum of squares) is calculated as n - k - 1, where n is the number of observations and k is the number of predictors. Here, n = 30 and k = 5, so the degrees of freedom for SSE is 30 - 5 - 1 = 24.

Exhibit 13-10 in a Regression Model Involving 30 Observations, the Following

Exhibit 13-10
in a Regression Model Involving 30 Observations, the Following