• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
• ANU College ANU College of Business and Economics
• Course subject Statistics
• Areas of interest Statistics
• Course convener
• AsPr Francis Hui
• Dr Chen Tang
• Dr Le Chang
• Mode of delivery In Person
• Offered in First Semester 2024
Autumn Session 2024
Second Semester 2024
Regression Modelling (STAT7038)

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.

## Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

1. Demonstrate a thorough understanding of the R statistical computing language, particularly the graphical capabilities;
2. Fit simple linear regression models, interpret model parameters and relate theses back to the underlying research question;
3. Analyse and interpret relationships between a response variable and a covariate;
4. Analyse and interpret relationships between a response variable and several covariates;
5. Assess and refine simple and multiple linear regression models based on diagnostic measures, including identifying and discuss the implications of outlying and influential data points; and,
6. Explore and discuss a useful multiple linear regression model from a number of competing models.

## Other Information

Offerings of this course outside of Semester 1 and Semester 2 are available only to students enrolled in the M. Applied Data Analytics.

## Indicative Assessment

1. The research-based assessment will consist of a nested project. (50) [LO 1,2,3,4,5,6]
2. The other assessment may include but is not restricted to exams, quizzes, presentations and other assessment tasks as appropriate. (50) [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 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time.

Not applicable

## Requisite and Incompatibility

To enrol in this course, students must have completed STAT7055 (or STAT1003 or STAT1008) or be enrolled in the M. Statistical Data Analytics, M. Actuarial Studies, M. Actuarial Practice, M. Statistics, MSc in Quantitative Biology and Bioinformatics, or MSc in Quantitative Biology and Bioinformatics (Advanced). Incompatible with STAT2008, STAT2014, STAT4038 and STAT6014.

## Prescribed Texts

Information about the prescribed textbook will be available via the class summary.

## Fees

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:
1
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.

Units EFTSL
6.00 0.12500

## Course fees

Domestic fee paying students
Year Fee
2024 \$4440
International fee paying students
Year Fee
2024 \$6360
Note: Please note that fee information is for current year only.

## Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

### First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4042 19 Feb 2024 26 Feb 2024 05 Apr 2024 24 May 2024 In Person View

### Autumn Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
5487 01 Apr 2024 19 Apr 2024 19 Apr 2024 30 Jun 2024 In Person View

### Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
9117 22 Jul 2024 29 Jul 2024 31 Aug 2024 25 Oct 2024 In Person N/A