Question: What is a key reason that logarithmic transformations are often used when nonlinear relationships are present? a. They make interpretation easier in terms of percentage

What is a key reason that logarithmic transformations are often used when nonlinear relationships are present? a. They make interpretation easier in terms of percentage changes. b. Logarithms increase the R2 value of the regression. c. They reduce outliers in the data. d. They transform the residuals to be normally distributed

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