Multiple linear regression and ANOVA

This course gives a practical introduction to the use of multiple linear regression in the analysis of continuous outcomes.

In simple linear regression a continuous outcome (e.g. blood pressure, salary) is predicted using one variable by searching for the line that best fits the data. In multiple regression we extend this idea to the context where 2 or more predictors are used to predict the outcome. In case of a categorical predictor multiple regression is often referred to as ANOVA or ANCOVA.

Each lesson is a combination of theoretical introductions followed by hands-on exercises in the software package SPSS.

For this course, we offer the possibility to take an exam. For the PhD students in the faculties IOB and Applied Economics, this is a requirement to obtain a credits for these courses, but people from other faculties are allowed as well.
If you are interested in taking the exam, check the wants-to-take-exam-box in the registration form. Participating in the exam costs 10€, which is deduced automatically from your educational credit.