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161.251 Regression Modelling (15 credits)
IMPORTANT NOTE:There have been changes to this course for 2022. For 2021 enrolments please check the individual offering description below to confirm details for:
- Expected prior learning
Common data analysis and regression techniques for application in science, business and social science. Topics include simple and multiple regression; linear models with categorical explanatory variables; model diagnostics; inference for linear models; polynomial regression; models for time dependence; methods for variable selection; non-linear and weighted regression.
General Prerequisite: At least 45 credits from 100 level.
- Restriction(s): 161.221
* Due to recent changes you should carefully check this offering to confirm details before you enrol.
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