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ul a driven next year. The milles driven during the past 5 years are as follows: Year Mileage a) Using a 2-year moving average, the forecast for year 6 = b) If a 2-year moving average is used to make the forecast, the MAD based on this = decimal place). (Hint: You will have only 3 years of matched data.) 1 3,100 2 4,000 3775 3 3,400 SION will 4 3,850 5 3,700 miles (round your response to the neare miles (round y c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.35 and 0.65 (the weight of 0.65 period) = miles (round your response to the nearest whole number). The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.35 and 0.65= (round your response to one decimal place). (Hint: You will have only 3 years of matched data.) d) Using exponential smoothing with a = 0.50 and the forecast for year 1 being 3,100, the forecast for year 6 = (round your response to the nearest whole numberl

ul a driven next year. The milles driven during the past 5 years are as follows: Year Mileage a) Using a 2-year moving average, the forecast for year 6 = b) If a 2-year moving average is used to make the forecast, the MAD based on this = decimal place). (Hint: You will have only 3 years of matched data.) 1 3,100 2 4,000 3775 3 3,400 SION will 4 3,850 5 3,700 miles (round your response to the neare miles (round y c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.35 and 0.65 (the weight of 0.65 period) = miles (round your response to the nearest whole number). The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.35 and 0.65= (round your response to one decimal place). (Hint: You will have only 3 years of matched data.) d) Using exponential smoothing with a = 0.50 and the forecast for year 1 being 3,100, the forecast for year 6 = (round your response to the nearest whole numberl

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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2. The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows: Year Mileage a) Using a 2-year moving average, the forecast for year 6 = b) If a 2-year moving average is used to make the forecast, the MAD based on this = decimal place). (Hint: You will have only 3 years of matched data.) 1 3,100 2 4,000 3775 4 3,850 3 5 3,400 3,700 miles (round your response to the nearest whole number). miles (round your response to one c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.35 and 0.65 (the weight of 0.65 is for the most recent period) = miles (round your response to the nearest whole number). The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.35 and 0.65 (round your response to one decimal place). (Hint: You will have only 3 years of matched data.) d) Using exponential smoothing with a = 0.50 and the forecast for year 1 being 3,100, the forecast for year 6 = (round your response to the nearest whole number). miles miles
Transcribed Image Text:2. The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows: Year Mileage a) Using a 2-year moving average, the forecast for year 6 = b) If a 2-year moving average is used to make the forecast, the MAD based on this = decimal place). (Hint: You will have only 3 years of matched data.) 1 3,100 2 4,000 3775 4 3,850 3 5 3,400 3,700 miles (round your response to the nearest whole number). miles (round your response to one c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.35 and 0.65 (the weight of 0.65 is for the most recent period) = miles (round your response to the nearest whole number). The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.35 and 0.65 (round your response to one decimal place). (Hint: You will have only 3 years of matched data.) d) Using exponential smoothing with a = 0.50 and the forecast for year 1 being 3,100, the forecast for year 6 = (round your response to the nearest whole number). miles miles
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