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161.251 Regression Modelling (15 credits)
Common data analysis and regression techniques for application in science, business and social science. Simple and multiple regression; model diagnostics and transformations; ANOVA, ANCOVA and general linear models with interactions; polynomial and piecewise regression; serial correlation; nonlinear and weighted regression; methods for non-normal responses; methods for variable selection; multicollinearity.
One of (161.101, 161.120, 161.130, 161.140, 161.111 or 161.122)
General Prerequisite: At least 45 credits from 100 level.
- Restriction(s): 161.221
|2021||Semester Two full semester||Internal||Auckland Campus|
|2021||Summer School||Internal||Auckland Campus|
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