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161.221 Applied Linear Models (15 credits)

IMPORTANT NOTE:There have been changes to this course for 2020. For 2019 enrolments please check the individual offering description below to confirm details for:

Requirements
Expected prior learning
Learning outcomes

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.

Requirements

Prerequisite(s): (One of (161.122 or 161.220 or 233.214) and one of (160.101 or 160.102 or 160.105)) or one of 161.101, 161.120 or 161.130
General Prerequisite: At least 45 credits from 100 level.
Restriction(s): 161.251

Offerings

Year	Semester	Mode	Location
2019 *	Semester One full semester	Distance
2019 *	Semester One full semester	Internal	Manawatu Campus
2019 *	Semester Two full semester	Internal	Auckland Campus
2019 *	Summer School	Internal	Auckland Campus
2019 *	Summer School	Distance
2020	Semester One full semester	Distance
2020	Semester One full semester	Internal	Manawatu Campus
2020	Semester Two full semester	Internal	Auckland Campus
2020	Summer School	Internal	Auckland Campus
2020	Summer School	Distance

* Due to recent changes you should carefully check this offering to confirm details before you enrol.

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161.221 Applied Linear Models (15 credits)

Requirements

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