In a regression model involving 50 observations,the following estimated regression model was obtained. $\hat { Y }$ = 51.4 + 0.70x₁ + 0.679x₂ - 0.378x₃.For this model SST = 120,524 and SSR = 85,400.Then,the value of MSE is: A) 763.565. B) 702.480. C) 1708.0. D) 2410.48.

Question

Quizplus · Accepted Answer

MSE (Mean Squared Error) is calculated as SSE/(n-k-1), where SSE = SST - SSR. Here, SSE = 120,524 - 85,400 = 35,124. With n = 50 and k = 3, MSE = 35,124 / (50 - 3 - 1) = 763.565.

In a Regression Model Involving 50 Observations,the Following Estimated Regression Y^\hat { Y }Y^

In a Regression Model Involving 50 Observations,the Following Estimated Regression $\hat { Y }$