MS0071, Statistics B - Regression analysis and analysis of variance, 7.5 Hp
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Syllabus

Finalized by: DECISION MAKER, YYYY-MM-DD
Valid from : Spring semester 2024 (2024-01-15)

Level

First cycle (GXX)

Subject

Mathematical Statistics

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 methods within the range of general linear models, such as regression analysis and analysis of variance. On completion of the course the student will be able to: • describe general linear models, such as regression and ANOVA models, including conditions and assumptions • select an appropriate general linear model for a given experimental or study design • carry out a regression or ANOVA analysis in the statistical software R • interpret and evaluate results correctly and draw reasonable conclusions • clearly and concisely communicate results and conclusions

Content

The course is built on lectures and computer exercises, as well as a project. The main components are as follows: Part 1 (6 hp) • Simple linear regression. • Multiple linear regression. • Analysis of variance with one or more fixed and random factors. • Analysis of covariance, dummy variable coding and the general linear model. • Analysis of residuals. • Some extensions or alternatives to models if assumptions for the base models are not fulfilled, e.g. nonparametric methods, nonlinear models and models for data that are not independent.

Part 2 (1.5 hp) Project work either alone or in a group.

Examination Formats and Requirements for Passing the Course

Part 1 - Passed examination in written form. Grade U, 3, 4, or 5 are given. Part 2 - Passed project report and passed oral presentation at mandatory seminar. Discussions of other groups’ reports can also be part of the examination. Reports, oral presentations, discussions and presence at seminars are only graded with Pass (G) or Fail (U).

Responsible Department/Equivalent

Department of Energy and Technology

Supplementary information

Module set

Title	Credits	Code
Part 1	6.0	0102
Part 2	1.5	0103

Other Information

This course is given at half speed and as distance course, with a limited number of compulsory activities on Campus Ultuna, Uppsala.

The course overlaps with the following courses given at SLU: ST0058 Statistik för ekonomer, 15 hp MS0064 Variansanalys, 5 hp HV0131 Avel 1 (moment variansanalys) HV0132 Avel 2 (moment variansanalys).