Question: what is the difference between general linear model and linear regression?
Answer: A generalized linear model is a flexible generalization of ordinary linear regression models which allows for the response variables (dependent) to have error distribution other than normal distribution. ... GLM was developed to unify other statistical methods (linear, logistic, Poisson regression).