• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
• ANU College ANU College of Business and Economics
• Course subject Statistics
• Areas of interest Actuarial Studies, Statistics
• Course convener
• Dr Anton Westveld
• Yuan Gao
• Mode of delivery In Person
• Co-taught Course
• Offered in First Semester 2020
Second Semester 2020
Regression Modelling for Actuarial Studies (STAT2014)

All activities that form part of this course will be delivered remotely

Regression Modelling for Actuarial Studies is a course in applied statistics that studies the use of regression techniques for examining relationships between variables. Ordinary linear models and generalised linear models are covered. The course emphasizes 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 working knowledge of the R statistical computing language, particularly the graphical capabilities;
2. Fit simple linear regression models and interpret model parameters;
3. Summarise and analyse relationships between a response variable and a covariate;
4. Summarise and analyse relationships between a response variable and several covariates;
5. Assess and refine simple and multiple linear regression models based on diagnostic measures, including identifying outlying and influential data points;
6. Carry out model selection in a multiple linear regression modelling context; and,
7. Define and describe the features of a Generalised Linear Model (GLM), fit GLM models, assess and refine the models based on diagnostic measures, and interpret model output.

## Other Information

This course is compulsory for students who enrolled or transferred into the Bachelor of Actuarial Studies in 2019 or later. Contact the convener of the Bachelor of Actuarial Studies if you unsure whether to enrol in STAT2008 or STAT2014.

## Indicative Assessment

1. Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate (100) [LO 1,2,3,4,5,6,7]

In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.

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 you must have completed STAT1008. Incompatible with STAT2008 and STAT6014.

## Prescribed Texts

Information about the prescribed textbook will be available via the Class Summary.

## Assumed Knowledge

The course uses the R statistical package, which uses matrix algebra to implement the regression modelling techniques. An understanding of matrix algebra (equivalent to an introductory mathematics course such as MATH1113) would be helpful in understanding how the R routines work, but such knowledge is not a required prerequisite.

## Fees

Tuition fees are for the academic year indicated at the top of the page.

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and 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). You can find your student contribution amount for each course 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
2020 \$4050
International fee paying students
Year Fee
2020 \$5760
Note: Please note that fee information is for current year only.

## Offerings, Dates and Class Summary Links

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
3603 24 Feb 2020 02 Mar 2020 08 May 2020 05 Jun 2020 In Person View
4859 24 Feb 2020 02 Mar 2020 08 May 2020 05 Jun 2020 Online View

### Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8613 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person View