Deriving the Quadratic Regression Equation Using Algebra

Autor/inn/en	Gordon, Sheldon P.; Gordon, Florence S.
Titel	Deriving the Quadratic Regression Equation Using Algebra
Quelle	In: Mathematics and Computer Education, 38 (2004) 3, S.291-297 (7 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0730-8639
Schlagwörter	Least Squares Statistics; Mathematics Education; Mathematical Models; Calculus; Algebra; Regression (Statistics); Equations (Mathematics) + Suchen Sie Ihr Suchwort? Mathematische Bildung; Mathematical model; Mathematisches Modell; Analysis; Differenzialrechnung; Infinitesimalrechnung; Integralrechnung; Regression; Regressionsanalyse; Equations; Mathematics; Gleichungslehre
Abstract	In discussions with leading educators from many different fields, MAA's CRAFTY (Curriculum Renewal Across the First Two Years) committee found that one of the most common mathematical themes in those other disciplines is the idea of fitting a function to a set of data in the least squares sense. The representatives of those partner disciplines strongly recommended that this topic receive considerably more attention in mathematics courses to develop much stronger links between mathematics and the way it is used in the other fields. Typically in regression analysis, multivariable calculus is used to minimize the sum of the squares of the deviations between the data values and the equation of the mathematical model, but these derivations are inaccessible to precalculus students. This paper describes how to derive the quadratic regression equation using algebra. (ERIC).
Anmerkungen	MATYC Journal Inc., P.O. Box 158, Old Bethpage, NY 11804. Tel: 516-822-5475.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10