In a multiple regression model involving 44 observations, the following estimated regression equation was obtained.
$\hat { y }$ = 29 + 18x₁ + 43x₂ + 87x₃

For this model, SSR = 600 and SSE = 400.MSR for this model is

Question

In a multiple regression model involving 44 observations, the following estimated regression equation was obtained.

\hat { y }

= 29 + 18x₁ + 43x₂ + 87x₃

For this model, SSR = 600 and SSE = 400.MSR for this model is

Quizplus · Accepted Answer

The Mean Square Regression (MSR) is calculated by dividing the Sum of Squares for Regression (SSR) by the number of predictors (k). Here, SSR = 600 and there are 3 predictors (x1, x2, x3), so MSR = 600 / 3 = 200.

In a Multiple Regression Model Involving 44 Observations, the Following y^\hat { y }y^​

In a Multiple Regression Model Involving 44 Observations, the Following $\hat { y }$