Exhibit 14 - 1
The following information regarding a dependent variable (Y) and an independent variable (X) is provided. SSE = 6
SST = 16
-Refer to Exhibit 14-1. The MSE is
A)1
B)2
C)3

Question

Exhibit 14 - 1
The following information regarding a dependent variable (Y) and an independent variable (X) is provided.  SSE = 6
SST = 16
-Refer to Exhibit 14-1. The MSE is
A)1 
B)2 
C)3

Quizplus · Accepted Answer

MSE (Mean Squared Error) is calculated by dividing SSE (Sum of Squared Error) by degrees of freedom, which is SST (Total Sum of Squares) minus 1. Therefore, MSE = SSE/df = 6/(n-2). Given SST = 16, we can calculate df as n-2 = 16-2 = 14. Thus, MSE = 6/14, which simplifies to approximately 0.43. Therefore, the best choice is B, which represents MSE = 2 (the closest option to 0.43).