Before running a multiple regression, it is smart to look at the distribution of each variable. We do this because
A) we want to see that the distributions are not very badly skewed.
B) we want to look for extreme scores.
C) we want to pick up obvious coding errors.
D) all of the above

Question

Quizplus · Accepted Answer

It is best to check for all of the above before running a multiple regression. Skewed distributions can affect the assumptions of normality and equal variance needed for multiple regression. Extreme scores can also affect the results of the regression. Checking for coding errors is important to ensure accurate results.

Before Running a Multiple Regression, It Is Smart to Look