37252 Regression Analysis6cp; Forms of attendance in this subject have changed to enable social distancing and reduce the risks of spreading COVID-19 in our community. There may also have been changes to the assessment requirements. Consequently, the Subject Outline information for this subject has changed. Details of the changes may be published in an Addendum to the Subject Outline which is available through your LMS (Blackboard or Canvas).
Requisite(s): 35151c Introduction to Statistics OR 33116 Statistical Design and Analysis OR 33230 Mathematical Modelling 2 OR 33290 Statistics and Mathematics for Science OR 26134 Business Statistics OR 37151c Introduction to Statistics
The lower case 'c' after the subject code indicates that the subject is a corequisite. See definitions for details.
These requisites may not apply to students in certain courses. See access conditions.
Anti-requisite(s): 35353 Regression Analysis
Regression analysis provides a way to model the relations among a set of quantitative variables. This subject focuses on the most common situation of one response variable and several explanatory variables, a situation encountered in many areas in science, engineering, medicine and business. Models for several explanatory variables are developed and tested, and ways for deciding which of a set of variables give the best model are developed.
Spring session, City campus
Detailed subject description.