Coding for Correlation and Regression

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Abstract
Data coding for analyzing the relationships between variables can often be a critical step relative to tests of significance or interpretation of regression coefficients. Resultant correlations can sometimes range from "trivial" to "large" depending on the data and the methods of coding. This paper focuses on the procedures available for substituting a special predictive coding method for some of the more complex general regression procedures.