Prerequisites: graduate standing; or consent of instructor
Description: Introduces statistical concepts and software with an emphasis on application. Covers correlation, bivariate and multivariate linear regression, regression diagnostics, nonlinear and interaction effects, and regression analysis for categorical dependent variables.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.