Introduction to Linear Methods with Applications in R
7.5 ECTS creditsThe 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
- 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鈥恠econdary level entry requirements)
Education level:
Undergraduate level
Admission requirements
15 ECTS credits completed in Statistics
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.