Applied Regression and ANOVA

Catalog description

Description: Focus on regression models and associated methods, data analysis, interpretation of results, statistical computation and model building. Students will be introduced to managing data and analysis, simple and multiple linear regression, regression assumptions, the use of categorical variables; residuals and diagnostics; model building/variable selection, and sources of bias including common method variance and endogeneity.