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Multiple Linear Regression… | 2 |
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House, Gary D. | 1 |
Newman, Isadore | 1 |
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Reports - Research | 2 |
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Newman, Isadore; And Others – Multiple Linear Regression Viewpoints, 1979
A Monte Carlo simulation was employed to determine the accuracy with which the shrinkage in R squared can be estimated by five different shrinkage formulas. The study dealt with the use of shrinkage formulas for various sample sizes, different R squared values, and different degrees of multicollinearity. (Author/JKS)
Descriptors: Computer Programs, Correlation, Goodness of Fit, Mathematical Formulas

House, Gary D. – Multiple Linear Regression Viewpoints, 1979
The relative magnitudes of R-squared values computed through multiple regression models using grade equivalent scores, raw scores, standard scores, and percentiles as both predictor and criterion variables are compared. Grade equivalents and standard scores produced the highest R-squared values. (Author/JKS)
Descriptors: Elementary Education, Grade Equivalent Scores, Multiple Regression Analysis, Norm Referenced Tests