Statistics III: Regression analysis, 4HP

Prior knowledge

Statistics I: Basic Statistics or equivalent

Objective, including learning outcomes

The objective of the course is to give an overview of linear, nonlinear and nonparametric regression. On completion of the course, the student will be able to: 
• specify regression models including conditions and assumptions
• select an appropriate regression model for a given problem
• carry out a regression analysis in the statistical software R 
• interpret and evaluate results correctly and draw reasonable conclusions
• clearly and concisely communicate results and conclusion

Content

The course will cover the following topics:
• Simple linear regression.
• Multiple linear regression.
• Nonlinear models. 
• Nonparametric regression and generalized additive models (GAM).
• Analysis of residuals.