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Overview

Multiple linear regression models and examples. Graphical methods for regression analysis. Multi-variate normal distribution. Quadratic forms (distributions and independence), Gauss-Markov theorem. Hypothesis testing. Model selection. Analysis of residuals. Influence diagnostics. Analysis of variance.

Conditions for Enrolment

Prerequisite: MATH2801 or MATH2901.

Delivery

In-person - Standard (usually weekly or fortnightly)

Course Outline

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Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)