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Overview

This course coveres 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 aims to give students a deeper level of understanding. 

Study Level

Undergraduate

Offering Terms

Term 3

Campus

Kensington

Delivery Mode

Fully on-site

Indicative contact hours

5

Conditions for Enrolment

Course Outline

To access course outline, please visit:

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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