Does Regression Assume Normality?
Regression Only Assumes Normality for the Outcome Variable. Non-Normality in the Predictors May Create a Nonlinear Relationship Between Them and the Y, but...
Regression only assumes normality for the outcome variable. Non-normality in the predictors MAY create a nonlinear relationship between them and the y, but that is a separate issue.
Is normality required for regression?
Regression only assumes normality for the outcome variable. Non-normality in the predictors MAY create a nonlinear relationship between them and the y, but that is a separate issue. ... The fit does not require normality.
What is normality assumption in regression?
Multivariate Normality–Multiple regression assumes that the residuals are normally distributed. No Multicollinearity—Multiple regression assumes that the independent variables are not highly correlated with each other. This assumption is tested using Variance Inflation Factor (VIF) values.
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