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PNS0180

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.

PNS0180 Statistics III: Regression analysis, 4.0 Credits

Syllabus approved

2019-03-08

Subjects

Mathematic Statistics

Grading scale

Pass / Failed The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.

Language

English

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 or SAS
• interpret and evaluate results correctly and draw reasonable conclusions
• clearly and concisely communicate results and conclusions

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 Energy and Technology

Course facts

Subject: Mathematic Statistics
Course code: PNS0180 Location: Uppsala Distance course: No Language: English Responsible department: Department of Energy and Technology Pace: 55%