In a multiple regression analysis,if the model provides a poor fit,this indicates that:
A)the coefficient of determination will be close to zero.
B)the standard error of estimate will be large.
C)the sum of squares for error will be large.
D)All of these choices are true.

Question

Quizplus · Accepted Answer

All of these statements are true indicators of a poor fit in a multiple regression analysis. A low coefficient of determination (close to zero) suggests that the model explains very little of the variability in the response variable. A large standard error of estimate indicates that the observed values deviate substantially from the values predicted by the model. Similarly, a large sum of squares for error means that there is a significant discrepancy between the observed and predicted values, further indicating a poor fit.

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