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Mundfrom, Daniel J.; DePoy Smith, Michelle L.; Kay, Lisa W. – AERA Online Paper Repository, 2017
It is widely known that the presence of multicollinearity in a dataset can have detrimental effects on determining which predictors are responsible for the variation in the response (e.g. Pedhazur, 1982). There also exist some indication that the presence of multicollinearity does not impact one's ability to accurately estimate/predict the value…
Descriptors: Prediction, Predictor Variables, Multiple Regression Analysis, Sample Size