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Statistical linear models 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; and weighted regression.
Note(s): Access to a Windows PC and an approved statistics package are required for analysis of data.
|2017||Semester one full semester||Internal||Auckland Campus|
|2017||Semester Two full semester||Distance|
|2017||Semester Two full semester||Internal||Manawatu Campus|
|2017||Summer School||Internal||Auckland Campus|
|2018||Semester one full semester||Distance|
|2018||Semester one full semester||Internal||Manawatu Campus|
|2018||Semester Two full semester||Internal||Auckland Campus|
|2018||Summer School||Internal||Auckland Campus|
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