EM 6613: Linear Regression Analysis

3 Credit Hours
Prerequisite: QA 6610 or EM 6510
In this course, students will learn linear regression analysis techniques to include first order and polynomial modeling, use of indicator variables, variance stabilizing transformations, multi-collinearity diagnostics and residual analysis. The connections among ANOVA, design of experiments and regression will be emphasized. Statistical software will be used to analyze problems.