GENERAL LINEAR MODELS I

Catalog description

The foundations of theory and practice of linear regression extensions, including testing, estimation, confidence interval procedures, modeling, regression diagnostics and plots, polynomial regression, co-linearity and confounding, model selection, geometry of least squares, etc. The theory will be approached mainly from the frequentist perspective and use of the computer to analyze data will be emphasized. Prerequisites: MATH 250 or PSYC 224, and: MATH 300, MATH 303, COSC 145.