This volume investigates the application of graphical methods to identify outliers and evaluate the adequacy of regression models in statistical analysis. A. C. Atkinson, a recognized authority in statistical science, provides a structured framework for diagnostic regression analysis. The text integrates theoretical research with practical application, focusing on how visual data representation can reveal model deficiencies that standard numerical outputs might obscure.

Experts and practitioners frequently cite this work as a foundational text for understanding regression diagnostics through a visual lens. Readers often note the clarity of the explanations, which bridge the gap between complex statistical theory and applied research methodology.