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A computational understanding of partial and part determination coefficients

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  • Suzanne V. Landram
  • Frank G. Landram

Abstract

A computational understanding of partial and part determination coefficients brings additional insight concerning their interpretations in regression. It also enables one to easily identify synergistic combinations. Benefits from the practical interpretation of synergism have yet to be fully explored and exploited. Hence, this study provides a new dimension in the analysis of data.

Suggested Citation

  • Suzanne V. Landram & Frank G. Landram, 2012. "A computational understanding of partial and part determination coefficients," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(12), pages 2619-2626, August.
    • Handle: RePEc:taf:japsta:v:39:y:2012:i:12:p:2619-2626
    DOI: 10.1080/02664763.2012.724662
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    References listed on IDEAS

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    1. 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.
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