A Second Course in Statistics: Regression Analysis (original) (raw)

AI-generated Abstract

The text provides a comprehensive guide to regression analysis in statistics. It covers fundamental concepts including populations, samples, data visualization, and probability distributions, establishing a solid foundation for understanding regression techniques. The paper further explores various regression models such as simple and multiple regression, model building strategies, potential pitfalls in regression analysis, and applications in real-world scenarios, supplemented by case studies to illustrate practical implications.