Introduction to Linear Methods with Applications in R

The course covers the following:
- models for simple and multiple linear regression
- estimation with the method of least squares
- inference for regression parameters
- regression prediction
- hypothesis testing
- multicollinearity, heteroscedasticity, and autocorrelation
- R commands

Progressive specialisation: G1N (has only upper‐secondary level entry requirements)

Education level: Undergraduate level

Selection:

Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.