Handbook

This course gives an understanding of the fundamentals of regression modelling, which is essential for anyone contemplating a career as a professional statistician or higher study in statistics for students majoring in mathematics and statistics.

Topics covered in the course include parameter estimation in linear models, model comparison using hypothesis testing, methods for selecting a good model when prediction of the response is the goal, detecting violations of model assumptions and identifying observations which have undue influence on decisions of interest.

The various components of the course (lectures, tutorials, computer labs, assignments) will improve the research and enquiry skills, as well as analytical thinking abilities of the students. Essential computing skills in relation to statistical analysis of data will also be developed.