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DPS 875 Data Analysis with Regression

Course Description:Enables doctoral students to apply regression analysis to empirical data. Rigorously reviews the theory of regression analysis. Identifies the types of research problems and data structurews appropriate for regression analysis. Applies regression to a variety of business areas and problems so students can gain an applications-guided understanding of regression analysis theory. Includes topics of model specification, significance determination, nonlinear transformations, residual analysis, normality assessment, and outlier analysis, plus more advanced topics including autocorrelation, multicollinearity, heteroscedasticity and extrapolation. Requires use of SPSS statistical software to analyze data with regression analysis.

Course Rotation: Fall;NY


3 credits