Linear Models I (STAT30240)

Credits  5  Subject  Statistics & Actuarial Science 
Level  3  School  Mathematics and Statistics 
Semester  Semester One  Module Coordinator  Dr Michelle Carey 
Students study: bivariate data (scatterplots and correlation); the simple regression model; least squares estimators and their properties; analysis of variation in the dependent variable; using the "extra sum of squares" to compare models; estimation of residual variance; inference from the linear model; regression through the origin; the multiple regression model; regression diagnostics (lackoffit and pure error) and residual plots; the oneway ANOVA model and assumptions; the regression model with dummy variables; parameter estimation using the least squares method; ANOVA tables and F ratio tests. Computer labs will be taken giving a full introduction to the SAS computer package, including fitting simple linear regression models and oneway ANOVA models using SAS.