Ononot — For the log-log model \ln(Y) = \beta0 + \beta1 \ln(X) + \eps

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Linear Modelinghard

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For the log-log model $\ln(Y) = \beta_0 + \beta_1 \ln(X) + \epsilon$ , how is $\beta_1$ interpreted?