The course is an introduction to the foundations of linear regression analysis.
1. Simple linear regression model. Ordinary least squares estimation.
2. Inference problems in the simple linear regression model. Analysis of variance and testing methods.
3. Multiple linear regression model.
4. Inference problems in the multiple regression model. Matrix notation, estimation and testing techniques.
5. Analysis of residuals and model diagnosis.
6. Introduction to generalized linear models.