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      Entries in multicollinearity (1)

      Wednesday
      Aug182010

      Top Ten Confusing Stats Terms Explained in “Plain English” (#9: Multicollinearity)

      Multicollinearity said in "plain English" is redundancy. Unfortunately, it isn't quite that simple, but it's a good place to start. Put simply, multicollinearity is when two or more predictors in a regression are highly related to one another, such that they do not provide unique and/or independent information to the regression.

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