Answer:
Let's calculate each part step by step:
a) Using a 2-year moving average, the forecast for year 6:
Year 6 forecast = (Miles in Year 5 + Miles in Year 4) / 2
Year 6 forecast = (3,800 + 3,750) / 2
Year 6 forecast = 7,550 / 2
Year 6 forecast = 3,775 miles (rounded to the nearest whole number)
b) To calculate the MAD (Mean Absolute Deviation) for the 2-year moving average forecast, we need to compare it to the actual miles for Year 6:
MAD = |Year 6 forecast - Actual miles in Year 6|
MAD = |3,775 - 3,900|
MAD = 125 miles (rounded to one decimal place)
c) Using a weighted 2-year moving average with weights of 0.45 and 0.55:
Year 6 forecast = (0.45 * Miles in Year 5 + 0.55 * Miles in Year 4)
Year 6 forecast = (0.45 * 3,800 + 0.55 * 3,750)
Year 6 forecast = (1,710 + 2,062.5)
Year 6 forecast = 3,772.5 miles (rounded to the nearest whole number)
To calculate the MAD for the weighted 2-year moving average forecast, compare it to the actual miles for Year 6:
MAD = |Year 6 forecast - Actual miles in Year 6|
MAD = |3,772.5 - 3,900|
MAD = 127.5 miles (rounded to one decimal place)
d) Using exponential smoothing with α = 0.40:
Year 6 forecast = α * Actual miles in Year 5 + (1 - α) * Year 5 forecast
Year 6 forecast = 0.40 * 3,800 + (1 - 0.40) * 3,050
Year 6 forecast = 1,520 + 1,830
Year 6 forecast = 3,350 miles (rounded to the nearest whole number)
Now, you have all the forecasts for Year 6:
2-year moving average: 3,775 miles
Weighted 2-year moving average: 3,772.5 miles
Exponential smoothing: 3,350 miles
You can compare these forecasts with the actual miles for Year 6 to calculate the MAD for each method as needed.
Step-by-step explanation: