University of Technology Sydney

37014 Understanding Data: Statistical Models for Binary Outcomes

2cp; 2hpw (lecture, online), 1.5hpw (PC labs, online)
There are course requisites for this subject. See access conditions.
Anti-requisite(s): 60117 Understanding Data and Statistical Design
Recommended studies:

Students taking this subject must be familiar with simple and multiple linear regression modelling.


The motivation behind modelling data is to make judgements about the relationship between a response variable and predictor variables. This subject introduces logistic regression, a statistical tool used to model binary response variables and lays the foundation for further study in data modelling. The statistical tool is logistic regression, a procedure that allows binary response data to be modelled as functions of continuous and categorical predictors. Many concepts carry over from linear regression, so it is important that prospective students have experience with this area of statistics. Concepts covered include odds and odds ratios and the various scales that logistic models can be utilised in.

Detailed subject description.

Access conditions

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