Data Science, Machine Learning, Regression, Generalized Linear Model.
meet in real life. Non-correlated variables: Finally, the regression variables are assumed to be non-correlated with each other, and preferably independent of each other. Therefore if your data set is non-linear, heteroscedastic and the residuals are not normally distributed, which is often the