When adjusted R square increase significantly from the original linear model and residual plots show more randomness,this is an indication of a ________.
A)multiple linear regression
B)stepwise regression
C)best subsets regression
D)curvilinear regression

Question

Quizplus · Accepted Answer

The significant increase in adjusted R square and more randomness in residual plots indicate that the model is capturing the data's variability better, which is characteristic of moving from a linear to a curvilinear regression. Curvilinear regression can better model the complexities and non-linear relationships in the data.

When Adjusted R Square Increase Significantly from the Original Linear