Studying online (if an online offering is shown below)

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

Description

This unit offers an introduction to regression modelling using Linear and Generalised Linear Models (GLMs). This broad class of statistical models is foundational for interpretable data sciences, as evidenced by their application across an extensive range of disciplines: e.g., finance, health, engineering, social sciences, policy making and the earth sciences. Topics include the estimation of model parameters, diagnostics of model assumptions, prediction and statistical inference. The emphasis of this unit is on choosing and applying appropriate statistical models in a variety of applications, rather than the mathematical details behind these methods. Students will learn how to communicate results to non-statisticians and will be instructed in the use of an appropriate statistical software package.

Credit
6 points
Offering
AvailabilityLocationModeFirst year of offer
Not available in 2025UWA (Perth)On-campus
Details for undergraduate courses
  • Level 2 elective
Outcomes

Students are able to (1) demonstrate an understanding of the key concepts of linear and generalised linear models

; (2) correctly formulate generalised linear models for both continuous and discrete data; (3) use appropriate computer packages for fitting generalised linear models to data; (4) assess, interpret and present results of generalised linear models; and (5) communicate results of statistical analyses effectively to non-statisticians.

Assessment

Indicative assessments in this unit are as follows: (1) assignments; (2) tests or quizzes; and (3) examination. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Associate Professor Edward Cripps
Unit rules
Prerequisites
Successful completion of
STAT1400 Statistics for Science
or STAT1520 Economic and Business Statistics
Incompatibility
STAT2401 Analysis of Experiments
or STAT2402 Analysis of Observations
Contact hours
lectures: 2 hours per week
labs: 2 hours per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.