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

Question

Quizplus · Accepted Answer

A poor fit in multiple regression analysis means that the model does not accurately explain the variability in the data. This results in a large sum of squares for error and a large standard error of estimate. Additionally, the coefficient of determination (R-squared) will be close to zero because the model is not explaining much of the variance in the dependent variable. Therefore, all of the answer choices are correct.

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