The General Linear Model

The general linear model (glm) provides a general framework for a large set of models whose common goal is to explain or predict a quantitative dependent variable by a set of independent variables which can be categorical of quantitative. The glm encompasses techniques such as Student’s t test, simple and multiple linear regression, analysis of variance, and covariance analysis. The glm is adequate only for fixed effect models. In order to take into account random effect model, the glm needs to be extended and becomes the mixed effect model.