Data Science, Machine Learning, Regression, Generalized Linear Model.
Homoscedastic data: Classical Linear models assume that the data should have constant variance i.e. the data should be homoscedastic. In real life, data is often not homoscedastic. The variance is not constant and sometimes it is a function of the mean. For e.g. the variance increases as the mean