lm(Revenue ~ Temperature + Quarter, data=BronlynsData) The coefficients table from the model is given below: Variable Estimate

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lm(Revenue ~ Temperature + Quarter, data=BronlynsData) The coefficients table from the model is given below: Variable Estimate of coefficient p-value (intercept) 4,000 Less than 0.0001 Temperature 17 Less than 0.0001 Q1 2,000 Less than 0.0001 Q2 4,000 Less than 0.0001 Q3 6,000 Less than 0.0001 For a month in Q2 where the temperature is 90 degrees F, the predicted revenue equals $

Posted Date: May 18, 2024 11:10 PM

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lm(Revenue ~ Temperature + Quarter, data=BronlynsData) The coefficients table from the model is given below: Variable Estimate

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