ABSTRACT
This chapter is devoted to the Bayesian analysis of the Normal linear model. The Normal linear model is the backbone of data analysis. It is used to explain how a continuous response variable depends upon one or several explanatory variables. Explanatory variables can be either continuous (regression), categorical (analysis of variance) or both (analysis of covariance).
