Overview

This course covers multiple linear regression models and examples and graphical methods for regression analysis. It also covers multi-variate normal distribution, quadratic forms (distributions and independence), Gauss-Markov theorem, hypothesis testing, model selection, analysis of residuals, influence diagnostics and analysis of variance. Where content is in common with MATH2831, this course … For more content click the Read More button below.

Conditions for Enrolment

Prerequisite: MATH2901 or MATH2801(DN)

Delivery

In-person - Standard (usually weekly or fortnightly)

Please note that the above delivery information is an indication on how this course may be delivered within the year.  Delivery mode(s) for each term can be viewed on other sources such as myUNSW and class timetable site.

This Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

Course Outline

To access course outline please visit below link (Please note that access to UNSW Canberra course outlines requires VPN):
MATH2931 Course Outline

Fees

TypeAmount
Commonwealth Supported Students (if applicable)$494
Domestic Students$5970
International Students$5970

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Commonwealth Supported Students:

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Where a Commonwealth Supported fee is displayed it does not guarantee that such places are available.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)
Pre-2019 Handbook Editions