When using a multiple linear regression model,data transformations on the dependent variable may be used in order to correct a violation of a(n)__________ of the multiple linear regression model.
A)assumption
B)independent variables
C)autocorrelation
D)normality

Question

Quizplus · Accepted Answer

Assumption of normality is one of the assumptions of a multiple linear regression model. If the dependent variable is not normally distributed, data transformations may be used to correct the violation of this assumption.

When Using a Multiple Linear Regression Model,data Transformations on the Dependent