In a multiple regression analysis, if the model provides a poor fit, this indicates:
A) that the sum of squares for error (SSE) will be large
B) that the standard error of estimate will be large
C) that the multiplewill be close to zero
D) all of these
E) none of these

Question

Quizplus · Accepted Answer

A poor fit in a multiple regression analysis means that the model is not accurately predicting the outcome variable. This suggests that there is a large amount of error, indicated by a large sum of squares for error (SSE). Additionally, a poor fit often results in larger standard errors of estimate. Finally, a poor fit is indicated by a low multiple R-squared value, suggesting that the predictors are not explaining much of the variation in the outcome variable. Therefore, all of these options (A, B, and C) are correct.

In a Multiple Regression Analysis, If the Model Provides a Poor