Overview
Regression is a set of statistical techniques widely used to analyse relationships between several variables.
The topics covered in this course include: linear regression; weighted least squares; generalized linear models (GLMs); fitting GLMs and examining model diagnostics; Poisson regression, binomial regression; analysis of variance; penalized regression methods; splines; penalized splines; … For more content click the Read More button below.
Lectures will be complemented with worked examples where students will perform data analysis and statistical programming using the R software.
Conditions for Enrolment
Enrolment in program 5659 or 8161 or 8719 or 8750 or 8959 or 7659
Delivery
In-person - Standard (usually weekly or fortnightly)
Fees
Type | Amount |
---|---|
Commonwealth Supported Students (if applicable) | $579 |
Domestic Students | $4740 |
International Students | $6990 |
Pre-2019 Handbook Editions
Access past handbook editions (2018 and prior)