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Linear Regression Models with Logarithmic Transformations

Linear Regression Models with Logarithmic Transformations

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can be interpreted approximately as the expected increase in Y from a 1% increase in X 3.3 Log-linear model: logYi = + Xi + i In the log-linear model, the literal interpretation of the estimated coefficient ^ is that a one-unit increase in X will produce an expected increase in logY of ^ units. In terms of Y itself, this means

  With, Model, Transformation, Regression, Logarithmic, Interpreted, Regression models with logarithmic transformations

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