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The Geometry of Enhancement in Multiple Regression

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  • Niels Waller

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  • Niels Waller, 2011. "The Geometry of Enhancement in Multiple Regression," Psychometrika, Springer;The Psychometric Society, vol. 76(4), pages 634-649, October.
    • Handle: RePEc:spr:psycho:v:76:y:2011:i:4:p:634-649
    DOI: 10.1007/s11336-011-9220-x
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    References listed on IDEAS

    as
    1. Niels Waller & Jeff Jones, 2010. "Correlation Weights in Multiple Regression," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 58-69, March.
    2. Friedman, Lynn & Wall, Melanie, 2005. "Graphical Views of Suppression and Multicollinearity in Multiple Linear Regression," The American Statistician, American Statistical Association, vol. 59, pages 127-136, May.
    3. Shieh G., 2001. "The Inequality Between the Coefficient of Determination and the Sum of Squared Simple Correlation Coefficients," The American Statistician, American Statistical Association, vol. 55, pages 121-124, May.
    4. Gromping, Ulrike, 2007. "Estimators of Relative Importance in Linear Regression Based on Variance Decomposition," The American Statistician, American Statistical Association, vol. 61, pages 139-147, May.
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    Cited by:

    1. Cuadras, Carles M. & Greenacre, Michael, 2022. "A short history of statistical association: From correlation to correspondence analysis to copulas," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    2. Jeff Jones & Niels Waller, 2015. "The Normal-Theory and Asymptotic Distribution-Free (ADF) Covariance Matrix of Standardized Regression Coefficients: Theoretical Extensions and Finite Sample Behavior," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 365-378, June.

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