THE AUSTRALIAN NATIONAL UNIVERSITY 
STAT2008 - Regression Modelling 
Final Examination Guide and Notes 2024 
 
Part 01. Revision Notes 
Part 02. Sample Final Examination Paper 
Part 03. Suggested Solutions to Final Exam Paper 
Part 04. Final Examination - Hints and Tips 
 
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STAT2008: Regression Modelling - Australian National University

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ACADEMIC YEAR 2023 - 2024

University	Australian National University
Study Level	Undergraduate
Course Code	STAT2008
Course Name	Regression Modelling
Notes Title	Final Examination Guide and Notes
Page Length	75

This concise STAT2008: Regression Modelling, Australian National University - Final Examination Guide and Notes 2024 covers essential steps to understand the relevant theories in this course. The illustrations and worked examples show essential workings to apply those theories. And when you are through with your course materials, you can take a sample exam with solutions and explanations provided, created specifically to simulate the real test-taking experience. With this guide, you can aim for the best grade with the help of relevant and accessible notes, examiner advice plus questions and answers on each key examinable topic. This guide will get you way up to speed on the course you'll know it so well, in fact, you will pass the end-of-semester final examination.

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.

✔ On successful completion of this course, you should be able 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,
explore model selection in a multiple linear regression modelling contex.

COURSE CODE	COURSE NAME
BUSN1001	Business Reporting and Analysis
BUSN1002	Accounting Processes and Systems
BUSN1101	Introduction to Commercial Law
BUSN2011	Management Accounting
BUSN2015	Company Accounting
BUSN3014	Principles of Tax Law
ECON1101	Microeconomics 1
ECON1102	Macroeconomics 1
ECON2101	Microeconomics 2
EMET2007	Econometrics I: Econometric Methods
EMET3004	Econometrics II: Econometric Modelling
FINM1001	Foundations of Finance
FINM2001	Corporate Finance
FINM2002	Derivatives
FINM2003	Investments
FINM3005	Corporate Valuation
FINM3006	Financial Intermediation and Debt Markets
FINM3008	Portfolio Construction
MGMT2007	Organisational Behaviour
MKTG2004	Marketing
STAT1003	Statistical Techniques
STAT1008	Quantitative Research Methods
STAT2032	Financial Mathematics

STAT2008: Regression Modelling - Australian National University

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