The generalized linear model (GZLM) is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution.
The GZLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value.
Quant Psych - Generalized Linear Models in R (25:08)