Linear regression
4 points * First semester * Clayton * Prerequisites: MAT2020, MAS2011, MAS2032, MAS2042 * Prohibitions: GAS3632
Objectives On the completion of this subject students will be able to understand the theory of multiple regression; analyse data sets which require multiple regression techniques with the statistical computer package MINITAB; understand the theory of significance tests in multiple regression; perform statistical tests related to regression on data.
Synopsis The simple linear regression model. Least squares fitting of multiple regressions. Significance tests and confidence intervals for regression parameters. Residual analysis for adequacy of model. Weighted least squares. Correlated errors.
Assessment Examinations (1.5 hours): 90% * Tests and/or assignments: 10%
Recommended texts
Myers R H Classical and modern regression with applications 2nd edn, PWS-Kent, 1990
Weisberg S Applied linear regression 2nd edn, Wiley, 1985
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