Helps any serious data analyst with a computer to recognize the strengths and limitations of data, to test the assumptions implicit in the least squares methods used to fit the data, to select appropriate forms of the variables, to judge which combinations of variables are most influential, and to state the conditions under which the fitted equations are applicable. This edition includes numerous extensions and new devices such as component and component-plus-residual plots, cross verification with a second sample, and an index of required x-precision; also, the search for better subset equations is enlarged to cover 262,144 alternatives. The methods described have been applied in agricultural, environmental, management, marketing, medical, physical, and social sciences. Mathematics is kept to the level of college algebra."Fitting Equations to Data" - ein Klassiker der Datenverarbeitung und -analyse! Diese überarbeitete, aktualisierte und stark erweiterte 2. Auflage berücksichtigt auch modernste Ansätze (unter anderem Komponenten- und Komponenten/Residuen-Plots). Nebenbei erfährt man, wie der Computer schrittweise Einzug in die Datenverarbeitung gehalten hat. Abgerundet wird das praxiserprobte Werk durch ein ausführliches Glossar. (01/01)