Applications of correlation and regression analysis typical in psychology and related disciplines. Correlation topics include: computing, testing, and comparing zero-order, partial, and semi-partial correlation coefficients. Regression topics include: logic of model comparison, hierarchical analysis, effect and dummy coding, interaction effects, curvilinear effects, diagnostics, and power estimation. Equips students to apply, interpret, and report results of correlation and multiple regression analyses. Training in the use of the SAS statistical computing system. Mandatory weekly lab sessions. Assumes prior graduate training in general linear model.