Applied Linear Regression, Fourth Edition has been thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, the Fourth Edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. New to this edition are extensive discussions of splines, principal components, lack-of-fit tests, effects plots, invariance of linear regression, R2, misspecification of weights and expansion of the bootstrap and ANOVA. Logistic examples are now integrated throughout the latter half of the book. An eBook version of the printed text, along with test bank and spreadsheet functionalities, is available at wiley.com