**Multivariate Normality is the third assumption in assumptions of linear regression. The linear regression analysis requires all variables to be multivariate normal. Means data should be normally distributed.**

so,

so,

can Multivariate normality avoid overfitting scenarios?

Because, if we have a normally distributed features, then estimated co-efficients will work perfectly on entire unseen populations of all independant features.

Thanks,

param