We can sometimes improve the explanatory power of a multiple regression analysis finding by trimming the nonsignificant independent variables and rerunning the regression analysis.

Question

Quizplus · Accepted Answer

By removing nonsignificant independent variables, the remaining variables may have a stronger relationship with the dependent variable and thus improve the explanatory power of the regression analysis. This is known as model selection or variable selection. However, it is important to note that this process should be done carefully to avoid overfitting the model to the data.

We Can Sometimes Improve the Explanatory Power of a Multiple