Question: Suppose we create the model below, where log() represents the natural log. lm( log(Y) ~ log(X), data=BronlynsExamData) We obtain the summary information below: Variable Estimate

Suppose we create the model below, where log() represents the natural log. lm( log(Y) ~ log(X), data=BronlynsExamData) We obtain the summary information below: Variable Estimate of coefficient p-value (intercept) 1.5 Less than 0.0001 log(X) 0.5 Less than 0.0001 The predicted value of Y when X = 6,000 is ______ units

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