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Sue comes to you to help her develop a forecasting model for her business. She is particularly interested in predicting the number of ice creams

Sue comes to you to help her develop a forecasting model for her business. She is particularly interested in predicting the number of ice creams she will sell during the summer. She has learned that the weather is a good predictor of ice sales and comes to you for advice. You have helped her develop the following regression model. Y = 150 3X1 Where Y = demand for ice cream X1 = the outside temperature (F) Show your results and the process that led to these results. What is the demand for ice cream when the temperature is 65 F? What is the demand for ice cream when the temperature is 75 F? What is the demand for ice cream when the temperature is 85 F

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