ME-628 Regression Models Illustrated Through Linear Regression Analysis
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Health and Sport Sciences
- Course Leader:
- Bjørge Herman Hansen
- Lecture Semester:
- Spring, Autumn
- Duration:
- 1 term
The course is connected to the following study programs
Recommended prerequisites
-
EX-602 Philosophy of Science
-
ME-626 General Quantitative Research Methods, ME-428 or corresponding courses
Course contents
-
Assumptions for performing linear regression
-
Initial evaluation of data including cofounding variable
-
Analysis with continuous independent variables
-
Analysis with categorical independent variables
-
Strategies for model building
-
How to assess the model fit
-
Critical evaluation of models
Learning outcomes
On successful completion of the course, the candidate has:
Knowledge about
-
assumptions for performing linear regression
-
strategies for model building
-
how to critically evaluate regression models and model fit
-
model assumptions
Skills
-
can evaluate initial data before analysis
-
can perform and report linear regression analysis with categorical and continuous independent variables
General competence
-
can independently plan, analyze, report and interpret own linear regression analysis and models
-
can interpret and critically evaluate linear regression analysis and models from published research
Examination requirements
Participation in compulsory lectures as stated in the course pamphlet.
Assessment methods and criteria
Individual 5-days home examination. The examination will be assessed as pass/fail.