MAT3211

Linear regression

(SCI)

Coordinator: Dr Tom Hall

4 points + Two 1-hour lectures and one 1-hour support class per week + First semester + Clayton + Prerequisites: MAT2020, MAT2061 and MAT2222 + Prohibitions: GAS3632, MAS3111 or MAT2236

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: Examination (2 hours): 85% + Assignments and/or tests: 15%