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Rsch Sch of Finance, Actuarial Studies & App Stats · ANU College of Business and Economics
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.
The research-based assessment will consist of assignments.
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 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time. 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.
Information about the prescribed textbook will be available via the Class Summary.