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P000002

Statistics III: Regression Analysis

Syllabus and other information


Syllabus

P000002 Statistics III: Regression Analysis, 4.0 Credits

Subjects

Mathematical Statistics

Education cycle

Postgraduate level

Grading scale

Pass / Failed

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 models for continuous response variables with applications in the agricultural sciences and related fields of research. On completion of the course, the student will be able to:

  • specify regression models including assumptions

  • select an appropriate regression model for a given problem

  • use the statistical software R for regression analysis

  • 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 regression 
  • nonparametric regression and generalized additive models (GAM).
  • assumptions and transformation of data

Formats and requirements for examination

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

  • If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.

  • The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.

  • If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.

  • For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.

Responsible department

Department of Energy and Technology

Course facts

Subject: Mathematical Statistics
Course code: P000002 Application deadline: Location: Uppsala Distance course: No Language: English Responsible department: Department of Energy and Technology Pace: 55%