General Linear Models

Undergraduate

This is an advanced course in general linear statistical models. Topics covered include simple linear regression, multiple regression, regression with qualitative and quantitative parameters, and one and two-way analysis of variance. Emphasis is on model building, experimental design, and diagnostic measures for linear models. Statistical analyses will be programmed in MATLAB using matrix algebra, though no prior programming experience is necessary.