Regression Analysis by Example

Carrying out a successful application of regression analysis requires a balance of theoretical results, empirical rules, and subjective judgment. "Regression Analysis by Example, Fourth Edition" explains the principles underlying exploratory data analysis, emphasizing data analysis rather than statistical theory. Completely rewritten, reorganized, and updated, the new edition is expanded and modernized to reflect recent advances in the field, offering in-depth treatment of diagnostic plots, time series regression, multicollinearity, logistic regression, and robust regression and data mining.