The mean square error (MSE)is
A)denoted by s.
B)denoted by k.
C)the SSE divided by the number of observations.
D)the SSE divided by the degrees of freedom.

Question

Quizplus · Accepted Answer

The mean square error (MSE) is defined as the sum of squared errors (SSE) divided by the degrees of freedom (df), which is the total number of observations minus the number of parameters being estimated. Therefore, the correct option is D, which states that MSE is the SSE divided by the degrees of freedom.

The Mean Square Error (MSE)is