HMET4102 – Linear Regression Analysis
Course description
Schedule, syllabus and examination date
Course content
This course gives a thorough description of linear regression modelling, starting from the basics of measuring correlation between two variables and simple linear regression. The course proceeds through multiple regression, the inclusion of dummy variables, and the problems of confounding and interactions. Model checking is also covered. Computer exercises in R will be used throughout the course. The aim of the course is to make students able to perform linear regression analyses in their own work.
Learning outcome
Knowledge
You will gain knowledge of:
- The background for linear regression models. Regression coefficients, confounding and interaction terms
- Relationship between correlation and linear regression
- The assumptions of linear regression analyses, identify violation of the assumptions and learn possible remedies for the violations
Skills
You will learn how to:
- Perform linear regression analyses in practice, using the R software
- Check that assumptions of the model are fulfilled
- Identify confounding variables and understand why they are confounders
Competence
You will be able to:
- Perform linear regression analyses in your work and research
Admission to the course
This course is only available for students at the following master programme:
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Recommended previous knowledge
Recommended prerequisite: HSTAT1101 or comparable introductory courses in statistics.
Overlapping courses
- 5 credits overlap with HMET4101 – Fundamentals of statistics (discontinued).
Teaching
The course employs a combination of:
- Lectures: Core theory and concepts
- Seminars: Problem-solving and case discussions
- Group work (student-organized): Group work with problem sets is encouraged.
Examination
Individual written examination
Examination support material
A web based calculator will be available for use in Inspera.
All written and printed material.
Language of examination
The exam will be given in English. Answers may be written in Norwegian, Swedish, Danish, or English.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
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Last updated from FS (Felles studentsystem)
Oct. 15, 2026 3:03:26 PM