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OCR: Transformed Estimates Original Estimates are the parameter estimates for the fitted linear model. These estimates can be compared in size only if the X's are scale the same Scaled Estimates are the parameter estimates multiplied by the standard deviation of the regressor (x) variable This can be useful in judging the estimate's affect on the predicted value of the response suc that the estimates can be compared with each other on fair terms. Normalized Estimates are the parameter estimates after transformation that makes them uncorrelated and of equal ariance This lets JMP treat the estimates as if they were from a random sample for use in Normal plots or Bayes plots.