HMET5130 – Linear Regression Analyses
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 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:
- Interpretation of linear regression models
- Relationship between correlation and linear regression
- Regression coefficients
- Interpretation of interaction terms
- 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 software such as Stata
- Check that assumptions of the model are fulfilled
- Identify confounding variables and understand why they are confounders
General competence
You will be able to:
- Perform linear regression analyses in your work and research
Admission
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.
Overlapping courses
5 credits overlap with HMM4101 – Research methods and statistics (discontinued)
Teaching
Lectures
IMPORTANT: Offered last time FALL 2022: Students will be following parts of the lectures in HMET4101. Pay attention to the information in Canvas for a detailed time table.
Exercises
Access to teaching
A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.
Examination
Home exam (4 hours)
Grading
The Board at the University of Oslo has decided to introduce detailed guidelines for all examinations, which take place at the University. The description of the grading should be clear and transparent. This is done to ensure alignment between learning outcomes, assignments, and grading. The Faculty of Medicine has developed a web page with information regarding exams and the grading procedures (norwegian version).
Digital examination
The written examination is conducted in the digital examination system Inspera. You will need to familiarize yourself with the digital examination arrangements in Inspera.
Read more about written examinations using Inspera.
Use of sources and citation
You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.
Examination support material
All written and printed material. Four types of calculators are allowed to be used during the examination:
- Citizen SR-270X
- Citizen SR270X BTSPU
- Casio FX-82MS
- TI-30XIIS.
Language of examination
For students at Eu-HEM: English
For students at HEPAM: The problem set will be given in English. Answers can be given in Norwegian, Swedish, Danish or in 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.
Explanations and appeals
Resit an examination
For HEPMA students:
For Eu-HEM students:
An EU-hem student cannot present her or himself for the examination in a course more than two times. There will be held re-sits for EU-hem students who have failed an exam or who have legitimate absence (usually illness) in January and August. If you are entitled to a re-sit you must contact the student advisor via email no longer than one week after the result of the exam has been published.
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
Evaluation
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.