PFG0069, Statistics III: Regression Analysis, 4.0 Hp
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Syllabus

Level

Third cycle

Grading Scale

The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.

Course language

English

Entry Requirements

Objectives

The objective of the course is to give an overview of linear, nonlinear and nonparametric regression. On completion of the course, the student will be able to: • specify regression models including conditions and assumptions • select an appropriate regression model for a given problem • carry out a regression analysis in the statistical software R • interpret and evaluate results correctly and draw reasonable conclusions • clearly and concisely communicate results and conclusion

Content

The course will cover the following topics: • Simple linear regression. • Multiple linear regression. • Nonlinear models. • Nonparametric regression and generalized additive models (GAM). • Analysis of residuals.

Examination Formats and Requirements for Passing the Course

Passed exercises and passed examination in written and/or oral form.

Responsible Department/Equivalent

Department of Forest Resource Management

Supplementary information