ERIC ED435678: Three Dimensional Modeling in Linear pdf

ERIC ED435678: Three Dimensional Modeling in Linear

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Description of the Book:

Linear regression examines the relationship between one or more independent (predictor) variables and a dependent variable. By using a particular formula, regression determines the weights needed to minimize the error term for a given set of predictors. With one predictor variable, the relationship between the predictor and the dependent variable is linear. With two predictors, this relationship becomes planar, and with three or more predictors, this relationship becomes hyper planar. By examining three-dimensional representations of the data, a researcher can gain greater insight into the data. The recent report of the American Psychological Association Task Force on Statistical Inference, published in the August 1999 issue of the “American Psychologist,” emphasizes the value and importance of using graphics to understand and communicate data dynamics. (Contains 11 figures, 7 tables, and 13 references.) (SLD

• Creator/s: ERIC
• Date: 2000-01
• Year: 2000
• Book Topics/Themes: ERIC Archive, Predictor Variables, Regression (Statistics), Three Dimensional Aids, Herman, James D

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