spring 2024
HEL-8030 Applied Linear Regression Analysis - 3 ECTS

Type of course

PhD Course. The course is available as a singular course.

Admission requirements

PhD students and students at the Student Research Programme, or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted. External PhD students and students at other Student Research Programmes, must upload a document from their university stating that they are registered students.

Course overlap

If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:

HEL-8001 Multivariable Linear Regression Analysis and Analysis of Variance Including Repeated Measures Design 1.5 ects
HEL-8027 Regression Analysis 3 ects
PSY-8012 Regression analysis 3 ects
MED-8003 Regression analysis 1 ects
HEL-8047 Statistical models, conclusions and uncertainty for scientific data analysis 1 ects

Course content

The course includes correlation as well as simple and multiple linear regression analysis, with application to medical and psychological areas.

In particular, the following topics are being covered:

• Variable selection and model building

• Moderation and mediation - interaction and confounding

• Regression diagnostics

• Transformation of variables

• Nonlinear regression analysis

• Implementation of these techniques in statistical software packages

Recommended prerequisites

HEL-8024 Quantitative Research Methods

Objectives of the course

After taking the course, the students should know about:

• The general linear model, its assumptions and applications

• How to build the best model

be able to:

• Identify different types of explanatory variables and correctly implement them in a linear regression model.

• Select the most appropriate model to study the relationship between one or more explanatory variables and one continuous response variable.

• Assess interaction and confounding variables.

• Interpret the results from linear regression models.

• Evaluate whether the assumptions of the regression models are fulfilled.

Language of instruction and examination


Teaching methods

The program contains lectures, exercises with the use of PC, and review of the exercises using the software packages R, SPSS and STATA.



Examination: Date: Grade scale:
Off campus exam 08.03.2024 17:00 (Hand out)
22.03.2024 14:00 (Hand in)
Passed / Not Passed
UiT Exams homepage

Re-sit examination

Re-sit examination are not offered in the course.
  • About the course
  • Campus: Tromsø |
  • ECTS: 3
  • Course code: HEL-8030
  • Tidligere år og semester for dette emnet