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Logarithmic Transformations in Regression: Do You Transform Back Correctly?
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Dambolena, Ismael G.; Eriksen, Steven E.; Kopcso, David P. – PRIMUS, 2009
The logarithmic transformation is often used in regression analysis for a variety of purposes such as the linearization of a nonlinear relationship between two or more variables. We have noticed that when this transformation is applied to the response variable, the computation of the point estimate of the conditional mean of the original response…
Descriptors: Regression (Statistics), Computation, Transformations (Mathematics), Statistical Bias
Assessing the Appropriateness of Transformations Using Simulation
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Dambolena, Ismael; Eriksen, Steven E.; Kopcso, David P. – PRIMUS, 2006
The logarithmic transformation is a commonly applied procedure in regression analysis when two or more variables have a nonlinear relationship. When the response variable is logarithmically transformed, confidence intervals for conditional means and predictions may actually be wider than their counterparts obtained from the model with the original…
Descriptors: Intervals, Prediction, Transformations (Mathematics), Multiple Regression Analysis