37252 Regression and Linear Models6cp; 4hpw: 2hpw (lecture, online), 2hpw (PC laboratory)
Requisite(s): 35151c Introduction to Statistics OR 33116 Design, Data, and Decisions OR 33230 Mathematics 2 OR 33290 Statistics and Mathematics for Science OR 26134 Business Statistics OR 37151c Introduction to Statistics OR 68103 Mathematics for Secondary Education 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.