Exhibit 13-9
In a regression analysis involving 25 observations, the following estimated regression equation was developed.
$\hat { Y }$ =10 - 18X1+3X2+14X3
Also, the following standard errors and the sum of squares were obtained.
Sb₁ = 3 Sb2 = 6 Sb3 = 7
SST = 4,800 SSE = 1,296
-Refer to Exhibit 13-9. The multiple coefficient of determination is
A) 0.27
B) 0.73
C) 0.50
D) 0.33

Question

Exhibit 13-9
In a regression analysis involving 25 observations, the following estimated regression equation was developed.
 $\hat { Y }$ =10 - 18X1+3X2+14X3
Also, the following standard errors and the sum of squares were obtained.
Sb₁ = 3 Sb2 = 6 Sb3 = 7
SST = 4,800 SSE = 1,296
-Refer to Exhibit 13-9. The multiple coefficient of determination is
A) 0.27
B) 0.73
C) 0.50
D) 0.33

Quizplus · Accepted Answer

The multiple coefficient of determination (R²) is calculated as 1 - (SSE/SST). Here, SSE = 1,296 and SST = 4,800. So, R² = 1 - (1,296/4,800) = 0.73.

Exhibit 13-9 in a Regression Analysis Involving 25 Observations, the Following

Exhibit 13-9
in a Regression Analysis Involving 25 Observations, the Following