Question: 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 th
summer. She has learned that the weather is a good predictor of ice sales and come
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 )
Note: Show your results and the process
(a) What is the demand for ice cream when the temperature is 65F?
(b) What is the demand for ice cream when the temperature is 75F?
(c) What is the demand for ice cream when the temperature is 85F?
(d) What is the demand for ice cream when the temperature is 95F?
(e) What is the demand for ice cream when the temperature is 105F?
(f) Under what conditions is Sue likely to sell more ice cream?
(g) Under what conditions is she less likely to sell more ice cream?
(h) Graphically represent the relationship between the outside temperature and the sales
of ice cream. What can you say about this relationship?
 Sue comes to you to help her develop a forecasting model

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