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PFG0069

Statistics III: Regression Analysis

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.

Syllabus and other information


Syllabus

PFG0069 Statistics III: Regression Analysis, 4.0 Credits

Subjects

Mathematical Statistics

Education cycle

Postgraduate level

Grading scale

Pass / Failed

Prior knowledge

Statistics I: Basic Statistics or equivalent

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.

Responsible department

Department of Forest Resource Management