Objectives
By the end of the course, the student should have knowledge on the following topics:
- Basics of linear and logistic regression model (with one and multiple predictors)
- Simple matrix algebra needed in regression analysis
- Basics of R programming (RStudio) related to regression analysis (basic commands and data handling)
- Necessary basic prerequisites to participate in the course Advanced Regression Analysis and Statistical Learning (TILM3587/TILM3622)
By the end of the course, the student should have knowledge on the following topics:
- Basics of linear and logistic regression model (with one and multiple predictors)
- Simple matrix algebra needed in regression analysis
- Basics of R programming (RStudio) related to regression analysis (basic commands and data handling)
- Necessary basic prerequisites to participate in the course Advanced Regression Analysis and Statistical Learning (TILM3587/TILM3622)
- Opettaja
Henri Nyberg