This course involves on campus teaching. For students unable to come to campus there will be a remote option. See the Class Summary for more details.
Regression Modelling is a course in applied statistics that studies the use of linear regression techniques for examining relationships between variables. The course emphasises the principles of statistical modelling through the iterative process of fitting a model, examining the fit to assess imperfections in the model and suggest alternative models, and continuing until a satisfactory model is reached. Both steps in this process require the use of a computer: model fitting uses various numerical algorithms, and model assessment involves extensive use of graphical displays. The R statistical computing package is used as an integral part of the course.
Upon successful completion, students will have the knowledge and skills to:
- Demonstrate a working knowledge of the R statistical computing language, particularly the graphical capabilities;
- Fit simple linear regression models and interpret model parameters;
- Summarise and analyse relationships between a response variable and a covariate;
- Summarise and analyse relationships between a response variable and several covariates;
- Assess and refine simple and multiple linear regression models based on diagnostic measures, including identifying outlying and influential data points; and,
- Carry out model selection in a multiple linear regression modelling context.
Students who commenced enrolment in the Bachelor of Actuarial Studies in 2019 or later, and students considering transferring to the Bachelor of Actuarial Studies, should take STAT2014 rather than STAT2008. Contact the convener of the Bachelor of Actuarial Studies if you unsure whether to enrol in STAT2008 or STAT2014.
- Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate (100) [LO 1,2,3,4,5,6]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Students are expected to commit at least 10 hours per week to completing the work in this course. This will include at least 3 contact hours per week and up to 7 hours of private study time.
Requisite and Incompatibility
Information about the prescribed textbook will be available via the Class Summary
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.