Question: Question 1 ( 6 points ) : Define a problem statement which reflects the challenge faced in this prediction problem ( Do not exceed 5

Question 1(6 points): Define a problem statement which reflects the challenge faced in this prediction problem (Do not exceed 500 words)
Question 2(6 points): Develop a 3-period moving average forecasting model. Report the forecasts for year 6 from months January through December inclusive. Discuss briefly these forecasts (Discussion NOT to exceed 500 words)
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Question 3(6 points): Compute for the model developed in Question 2, compute the error parameters MAD, MSE, MAPE, and TS. Explain these error computations (Explanation NOT to exceed 500 words)
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Question 4(6 points): Develop a simple exponential smoothing forecasting model, assume, =0.2. Report the forecasts for year 6 from months January through December inclusive. Discuss briefly these forecasts (Discussion NOT to exceed 500 words)
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Question 5(6 points): For the model developed in Question 4, compute the error parameters MAD, MSE, MAPE, and TS.
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Question 6(6 points): For the model developed in Question 4, using Excel Solver optimize the value of with and objective to minimize MSE. Report your results provide a discussion how optimization improved the forecasting error (Discussion NOT to exceed 500 words)
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Question 7(6 points): Develop a Holts model for forecasting, assume, =0.3, and =0.1. Report the forecasts for year 6 from months January through December inclusive. Discuss briefly these forecasts (Discussion NOT to exceed 500 words)
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Question 8(6 points): For the model developed in Question 7, compute the error parameters MAD, MSE, MAPE, and TS.
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Question 9(6 points): For the model developed in Question 7, using Excel Solver optimize the values of and with an objective to minimize MAD. Report your results provide a Discussion how optimization improved the forecasting error (Discussion NOT to exceed 500 words)
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Question 10(6 points): Develop a Winters model for forecasting, assume, =0.2,=0.3, and =0.1. Report the forecasts for year 6 from months January through December inclusive. Discuss briefly these forecasts (Discussion NOT to exceed 500 words)
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Question 11(6 points): For the model developed in Question 10, compute the error parameters MAD, MSE, MAPE, and TS.
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Question 12(6 points): For the model developed in Question 10, using Excel Solver optimize the values of ,, and with an objective to minimize MAPE. Report your results provide a Discussion how optimization improved the forecasting error (Discussion NOT to exceed 500 words)
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Question 13(6 points): Discuss the model developed in Question 10 is how different from model developed in Question 7,(Discussion NOT to exceed 500 words)
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Question 14(22 points): Which model you will select and Why and how does the optimization improve the forecasting performance of the methods? (1 to 2-page discussion recommend)

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