Multiv Method & Linear Regress

Catalog description

Multivariate Methods and Linear Regression (3-0) This course is an extensive review of quantitative methods used for the analysis and interpretation of multivariate data in international business problems. Students will analyze real data using major statistical software packages with an emphasis on OLS regression model specification, diagnostics, validation and subsequent inferences; interpreting interactions and higher order terms; moderation and meditation effects; analysis of qualitative, truncated and dichotomous dependent variables; and analysis of variance, factor analysis, structural equation modeling, and hierarchical linear modeling techniques. Prerequisite: Departmental approval.