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Using a 2 - year moving average, the forecast for year 6 = 3 , 8 2 5 miles ( round your response to two

Using a2-year moving average, the forecast for year 6=
3,825 miles (round your response to two decimal places).
Part 5
b) Find the MAD based on the2-year moving average forecast in part(a).
The value of MAD is computed by taking the sum of the absolute values of the individual forecast errors(deviations) and dividing by the number of periods of data(n):
MAD= StartFraction Summation from nothing to nothing |Actual minus Forecast| Over n EndFraction
Part 6
The absolute error for year 4 is
125.00 miles(round your response to two decimal places).
Part 7
If a2-year moving average is used to make the forecast, the MAD based on this=
150.0 miles (round your response to two decimal places).(Hint: You will have only 3 years of matched data.)
Part 8
c) Use a weighted2-year moving average with weights of 0.45 and 0.55 to forecast next year's mileage.(The weight of 0.55 is for the most recent year.)
A weighted moving average may be expressed mathematically as:
Weighted moving average= StartFraction Upper Sigma left parenthesis Weight for period n right parenthesis left parenthesis Demand in period n right parenthesis Over Upper Sigma Weights EndFraction
Part 9
For the next year's mileage, the weighted2-year moving average is
.55times3 comma 850plus
.45times3 comma 800(round your responses to two decimal places).
Part 10
Therefore, the forecast for year 6 is
3,823 miles(round your response to two decimal places).
Part 11
What MAD results from using this approach to forecasting?
The MAD for the forecast developed using a weighted2-year moving average with weights of 0.45 and 0.55=
enter your response here miles (round your response to two decimal places).(Hint: You will have only 3 years of matched data.)

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