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.
Teaching methods
Lectures combined with practical statistical exercises in a computer lab. Examples of analysis of data will to a great degree be connected to the faculty’s on-going or planned research projects.
Assessment methods and criteria
Individual 5-days home examination. The examination will be assessed as pass/fail.