In the ANOVA table for simple linear regression, the mean square regression (MSR) is the
A)sum of squares regression (SSR) divided by degrees of freedom = 1
B)sum of squares regression (SSR) divided by degrees of freedom = n-2
C)mean square total minus mean square error
D)mean square error divided by mean square total
E)none of the above

Question

Quizplus · Accepted Answer

The mean square regression (MSR) is calculated by dividing the sum of squares regression (SSR) by its degrees of freedom, which is 1 in the case of simple linear regression. This is because there is only one explanatory variable in simple linear regression, leading to a single degree of freedom for the regression component.

In the ANOVA Table for Simple Linear Regression, the Mean