This text investigates the practical application of regression analysis as a primary tool for modeling relationships between variables in business and economic research. Dick R. Wittink provides a comprehensive framework for researchers and students to move beyond theoretical statistics into the implementation of regression models for real-world decision-making. The book emphasizes the bridge between mathematical formulation and the interpretation of results within complex data environments.

The subject matter points to a technical, academic resource intended for students and practitioners seeking a rigorous foundation in applied statistical modeling. The framing suggests a focus on the mechanics of regression that remains relevant for those navigating quantitative analysis in professional or research settings.