Regression Analysis

Catalog description

This course introduces the methods for fitting and interpreting regression models. Topics include simple linear regression (SLR), multiple linear regression (MLR), model checking, variable selection methods, dummy variables, diagnostic measures, logistic regression, and time series analysis. Instruction will include the use of statistical programming language.