This document provides an overview of using SAS Enterprise Miner software to conduct predictive modeling using regression analysis. It discusses how to import data from Excel, create a project and data source in Enterprise Miner, run linear and logistic regression models to predict outcomes, and interpret the results, including measures of model fit and variable effects. Examples are provided on using linear regression to predict kilowatts from temperature, multiple regression to predict food expenditures from income and family size, and logistic regression to predict exam passing from study hours.