Generalized Linear Models (GLMs) extend the ordinary Linear Regression and allow the response variable y to have an error distribution other than the normal distribution. GLMs are great because:
- They are easy to understand.
- Most statistical packages contain functions to fit and interpret the resulting model.
- Linear regression or logistic regression is sufficient for a lot of real-life applications.