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= MaD Scenario: The data below show the number of new students arriving during the Fall semester for a small college for the last five Fall semesters. 2-Period MA Exp. Smoothing, a = 0.20 & F =D New New Year FE Mape Year Students Students 2017 422 2017 422 2018 441 2018 441 2019 462 431.50 30,5 6.6% 30.51462 2019 462 2020 387 451.50 64.5 16.66 645 1387 2020 387 2021 365 424.50 sq, 16.3000 59.51365 2021 365 2022 + 376 A 51.5 13.19000 2022 sas Use this data to answer the questions that follow. 1. 376 Using the 2-Period MA approach, what is the forecast for 2022? 412 2. Using the Exp. Smoothing approach, what is the forecast for 2022? 51,5 3. What is the MAD for the 2-Period MA approach? 4. What is the MAPE for the Exp. Smoothing approach? 5. Using MAD and MAPE, which model should be preferred? Would it be wise to consider a different kind of approach? Explain. exp Ullas New Scenario: The data below show the number of new students arriving during the Fall semester for a small college five Fall semesters. 2-Period MA Exp. Smoothing, a = 0.20 & F =D, men New Year Year Mape Students CE Students 2017 422 2017 422 2018 441 2018 441 2019 462 431.5 30.5 6.6% 30.51962 2019 462 2020 387 456.50 64.5 16.6 6451107 2020 387 2021 365 424.50 sq, 16.390 59.5/365 2021 365 2022 376 51.5 15.14010 2022 Use this data to answer the questions that follow. 1. 376 Using the 2-Period MA approach, what is the forecast for 2022? 12 2. Using the Exp. Smoothing approach, what is the forecast for 2022? 51.5 3. What is the MAD for the 2-Period MA approach? 4. What is the MAPE for the Exp. Smoothing approach? 5. Using MAD and MAPE, which model should be preferred? Would it be wise to consider a different kind of approach? Explain. exp