Applied Regression Modeling

Applied Regression Modeling, 3rd Edition, offers an applied treatment of statistical regression analysis designed for readers with little or no background in calculus. The textbook emphasizes practical methods and interpretation rather than advanced mathematical derivations.

Coverage spans foundational regression concepts, simple and multiple linear regression, and regression model building. The text also introduces advanced modeling extensions, including logistic regression, multilevel models, and time series forecasting.

Suited for undergraduate statistics courses as well as non-statistics graduate students and learners in data science or machine learning, this edition includes learning outcomes, end-of-chapter exercises, and multi-format datasets available through a supplementary website.