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Regression Modelling (6546.4)

Level: Level 3 - Undergraduate Advanced Unit
Credit Points: 3
HECS Bands:

Band 1 2021 (Commenced After 1 Jan 2021) Band 1 2021 (Commenced Before 1 Jan 2021) Band 2 2013-2020 (Expires 31 Dec 2020)

Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Technology


Possible changes to your unit's learning activities and assessment items

For the remainder of 2020, resulting from Australian Government's directives requiring physical distancing and restrictions on movement because of the COVID-19 pandemic, any exams that are required for assessment in a unit will be online exams. Online exams may also use online proctoring to help assure the academic integrity of those exams. Please contact your unit convener with any questions.

While the University has made efforts to ensure that Unit Outlines reflect a unit’s learning activities and assessment items, any changes to Australian Government directives because of the COVID-19 pandemic may require changes to these during the semester to ensure the safety and well being of students and staff. These changes will not be updated in the published unit outline, but will be communicated to you via your unit’s UCLearn(Canvas) teaching site. Any changes made will continue to meet the unit’s learning outcomes, as described in the Unit Outline.

Unit Outlines

To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

  • Semester 2, 2020, ON-CAMPUS, BRUCE (195750) - View
  • Semester 1, 2019, ON-CAMPUS, BRUCE (185231) - View
  • Semester 1, 2018, ON-CAMPUS, BRUCE (181705) - View
  • Semester 2, 2016, ON-CAMPUS, BRUCE (151538) - View

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.


This unit explores linear regression techniques for examining relationships between a variety of variables, including both continuous and discrete response variables. Emphasis will be placed on the practical aspects of analysing large data sets, fitting a model and assessing a model using a statistical package. The simple regression model will be reviewed. Multiple regression models will be introduced, together with logistic regression and other generalised linear models. Applications to business, natural and social sciences and other areas will be illustrated.
This unit may be cotaught with 6557 Regression Modelling G.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Describe the principles of linear modelling in data analysis;

2. Formulate an appropriate model;

3. Estimate the parameters of a model using a statistical computer package;

4. Apply and explain statistical inference to a model using a statistical computer package;

5. Evaluate the appropriateness and validity of a model; and

6. Produce and interpret the results of an estimated model and predict the consequences of these results.

Assessment Items

Contact Hours

A 2-hour lecture and a 2-hour lab per week.


6540 Introduction to Statistics OR 5123 Business Statistics OR 1809 Data Analysis in Science



Assumed Knowledge


Incompatible Units

6557 Regression Modelling G.

Equivalent Units


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