Data Science, Machine Learning, Regression, Generalized Linear Model.
increases. This is common in monetary datasets. Homoscedastic and heteroscedastic data (Image by Author) Normally distributed errors: Classical Linear models assume the errors of regression, also known as the residuals, are normally distributed with mean zero. This condition is also difficult to