Designed especially for business and social science students who are familiar with the fundamentals of statistics, this text explores both the theory and practice of regression analysis - proficient in handling the analysis of large data sets. It describes the interaction between data analysis and regression models used to represent the data - to help students learn how to analyze regression data, understand regression models, and how to specify an appropriate model to represent a data set. The main narrative in each chapter stresses application and interpretation of results in applied statistical methods from a user's point of view. Principles are introduced as needed for various applications.