Applied Regression Analysis

3 credits

Theory and application of simple and multiple linear regression models, estimation, inference (confidence intervals, prediction intervals and hypothesis testing), polynomial regression, ANOVA and ANCOVA, variable selection, model adequacy and residual diagnostics. [3-0-0] Prerequisite: MATH 221 and one of STAT 205, STAT 230.