Interpret the parameters in a log-linear regression model.

Question

09 Sep 2024

Answer :

Word Count : 279

In a log-linear regression model, the dependent variable is transformed using the natural logarithm, while the independent variables remain in their original form. This transformation allows for a more flexible modeling approach, especially when the data exhibits exponential growth or a nonlinear relationship between the variables. The general form of a log-linear regression model is:

\[
\ln(Y_i) = \beta_0 + \beta_1 X_i + \epsilon_i
\]

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