37252 Regression Analysis6cp; Autumn and Spring sessions: 2hpw (PC laboratory), 2hpw (lecture); Summer session: daily x 2hrs (PC laboratory), daily x 2hrs (lecture)
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.