Data Science, Machine Learning, Regression, Generalized Linear Model.
probit model. How to handle Heteroscedasticity in the data? Finally, let’s look at how GLMs handle heteroscedastic data i.e. data in which the variance is not constant, and how GLMs handle potentially non-normal residual errors. GLMs account for the possibility of a non-constant variance by