This document provides an overview of regression analysis and its uses. It discusses linear regression, which examines the relationship between a single independent and dependent variable. It also covers multiple regression, which examines relationships between multiple independent variables and an outcome variable. The document discusses interpreting output from regression analyses, including R-squared values, standard errors, significance tests, and beta coefficients. It provides examples of how regression can be used to understand relationships between variables like cigarette consumption, birth weight, and reading scores. Overall, the document serves as an introduction to regression analysis and its applications in social science research.