SAGE Reference - Encyclopedia of Case Study Research

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Multicollinearity

In: Encyclopedia of Case Study Research
Edited by: Albert J. Mills, Gabrielle Durepos & Elden Wiebe
Subject:Case Study & Narrative Analysis
Keywords:independent variables; multicollinearity

Suppose we have a single dependent variable y and k independent variables. Further let y = f(x1, x2 …, xk) denote the functional relationship between (x1, x2 …, xk) and y. Note that we are in a different situation than the one dependent variable and one independent or ...

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  Mills, A. J., Durepos, G., & Wiebe, E. (2010). Multicollinearity. In Encyclopedia of case study research (Vol. 1, pp. 573-575). SAGE Publications, Inc., https://dx.doi.org/10.4135/9781412957397.n212
  
  Mills, Albert J., Gabrielle Durepos, and Elden Wiebe. "Multicollinearity." In Encyclopedia of Case Study Research, edited by Mills, Albert J., Gabrielle Durepos, and Elden Wiebe, 573-75. Thousand Oaks, CA: SAGE Publications, Inc., 2010. https://dx.doi.org/10.4135/9781412957397.n212.
  
  Mills, A. J., Durepos, G. and Wiebe, E. 2010. Multicollinearity. In: Albert J. Mills, Gabrielle Durepos and Elden Wiebe Editors, 2010. Encyclopedia of Case Study Research, Thousand Oaks, CA: SAGE Publications, Inc. pp. 573-575 Available at: <https://dx.doi.org/10.4135/9781412957397.n212> [Accessed 29 Jun 2022].
  
  Mills, Albert J., et al. "Multicollinearity." Encyclopedia of Case Study Research. Edited by Vol. 1. Thousand Oaks: SAGE Publications, Inc., 2010, pp. 573-75. SAGE Knowledge. 29 Jun 2022, doi: https://dx.doi.org/10.4135/9781412957397.n212.
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