No offerings have been identified for this subject in 2016

STA408 Linear Models (8)


The linear model is all pervasive in the application of statistical techniques to the analysis of data. This fundamental method underpins many others such as nonlinear regression and methods for analysing non-normal data. This subject will give an overview of the linear model and its application in regression and basic experimental design and analysis for data based on independent observations.

+ Subject Availability Modes and Location

Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: STA408
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration Grading System School:
One sessionHD/FLSchool of Information Studies

Assumed Knowledge

STA201 or STA420

Learning Outcomes

Upon successful completion of this subject, students should:
Be able to recognise situations for which a linear model is appropriate;
Be able to perform basic linear algebra tasks;
Be able to design and check simple experiments;
Be able to perform the analysis of such experiments and report the results in terms of the original problem;
Be able to critically test any assumptions underpinning the use of the linear model;
Be able to perform design and analysis tasks on recognised software platforms;
Be aware of the limitations of the independence assumption and appreciate the various alternatives available.


The subject will cover the following topics:
Overview of linear models and their applications in general; Review of basic linear algebra; Univariate linear model for independent data - underlying concepts and assumptions; Regression, observational data; Experimental design and analysis - fixed effects, random effects, mixed models and different error strata; Tests of assumptions; Software platforms - SPSS, GENSTAT, Splus; Multivariate linear model (introductory), multivariate regression (GLS), MANOVA.

Residential School

This subject contains a optional 0 day residential school.


The information contained in the 2016 CSU Handbook was accurate at the date of publication: 06 September 2016. The University reserves the right to vary the information at any time without notice.