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Coding or transforming the independent variable(s) in regression situations affects estimation and hypothesis testing. Methods are developed for understanding these coding effects and a table presented with the factors required to calculate easily the estimated coefficients and subsequent t-statistics in one system of coding from another. The systems of coding include four commonly used codings of the original values. A worked example of a quadratic polynomial model in two variables is then givn and the results interpreted with the objective of decreasing the potential confusion that may arise from a coding situation, e.g., when the independent variables have been coded for convenience in calculation but the final yield function is desired in units of the original variables.
Key Words: Computation Analysis Statistical Methodology
2 Graduate student, Chapingo, and Professor of Experimental Statistics and Agronomy, Lexington (formerly Visiting Professor at Chapingo under a joint Chapingo, Iowa State University and Ford Foundation arrangement).
Received for publication July 1, 1968.
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