Includes bibliographical references (pages 293-299) and indexes.
Scatterplots and regression -- Simple linear regression -- Multiple regression -- Drawing conclusions -- Weights, lack of fit, and more -- Polynomials and factors -- Transformations -- Regression diagnostics : residuals -- Outliers and influence -- Variable selection -- Nonlinear regression -- Logistic regression.
Applied Linear Regression, Third Edition is 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.