MAT 314 Regression Analysis for the Social Sciences

Regression analysis is one of the most widely used statistical techniques and has a wide and diverse array of applications.  This course focuses on the understanding and presentation of regression models and associated methods, data analysis, interpretation of results, statistical computation and model building in a social sciences context.  Topics include: simple and multiple linear regression analysis, models for qualitative and quantitative predictors, variable selection procedures, detection and effects of multi-collinearity, variable transformations, identification and effects of influential and outlier observations, residual analysis.  Examples using SPSS software will provide students with an easy to use tool to conduct regression analysis.  A course project will require students to gather data of interest to their particular major or area of interest, conduct an appropriate regression analysis, and present summary results and conclusions.