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In the log-log regression model, both the response variable and the predictor variable are transformed into natural logs. We can write this model ln(y)=β0+β1ln(x)+ε. For 0 < β1 < 1, the log-log regression model implies a positive relationship between x and E(y); as x increases, E(y) increases at a '_________________' rate.
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