Innholdsfortegnelse

Emnet er tilknyttet følgende studieprogram

Anbefalte forkunnskaper

  • EX-602 Philosophy of Science
  • ME-626 General Quantitative Research Methods, ME-428 or corresponding courses

Læringsutbytte

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

Innhold

  • 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

Undervisnings- og læringsformer

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.

Vilkår for å gå opp til eksamen

Participation in compulsory lectures as stated in the course pamphlet.

Eksamen

Individual 5-days home examination. The examination will be assessed as pass/fail.
Sist hentet fra FS (Felles studentsystem) 14. okt. 2026 12:01:20