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Rsch Sch of Finance, Actuarial Studies & App Stats · ANU College of Business and Economics
Regression Modelling studies the use of linear regression techniques for examining relationships between variables across a broad range of different disciplines including the sciences, arts, business, politics, management and the financial sciences. Further, students use the skills acquired in this course to identify problems, interpret and analyse results, and provide solutions while engaging with external stakeholders. 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 versatile software: 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. Students in this course are exposed to a variety of different problems/issues from different disciplines and seek to provide input to these problems through application of quantitative data analysis skills. The data sets and/or problems/issues are introduced through a variety of means from blogs or newspaper articles, and case studies (real or fictional) to drive and contextualise the data stemming from the variety of different disciplines.
The research-based assessment will consist of assignments. Students will work to perform analysis of the dataset in the initial part of the assignment. In the second part of the assignment, students will use the results to suggest possible solutions to the problem raised in the dataset and communicate their solutions.
Learning outcomes 1, 2, 3, 4, 5, 6
The other assessment may include but is not restricted to: exams, quizzes, presentations and other assessments as appropriate.
Learning outcomes 1, 2, 3, 4, 5, 6
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. Other Information Students who commenced enrolment in the Bachelor of Actuarial Studies 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 are unsure whether to enrol in STAT2008 or STAT2014.
Information about the prescribed textbook will be available via the class summary.