# Computation forecasts

Computation forecasts

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Question 2
The U.S. Census Bureau publishes data on factory orders for all manufacturing, durable goods, and nondurable goods industries. Shown here are factory orders in the United States over a 13-year period (\$ billion).
a. Use these data to develop forecasts for the years 6 through 13 using a 5-year moving average.
b. Use these data to develop forecasts for the years 6 through 13 using a 5-year weighted moving average. Weight the most recent year by 6, the previous year by 4, the year before that by 2, and the other years by 1.
c. Compute the errors of the forecasts in parts (a) and (b) and then the MAD. Which forecast is better?
YEARFACTORY ORDERS (\$ billion)
12,512.70
22,739.20
32,874.90
42,934.10
52,865.70
62,978.50
73,092.40
83,356.80
93,607.60
103,749.30
113,952.00
123,949.00
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 Question 3 The “Economic Report to the President of the United States” included data on the amounts of manufacturers’ new and un?lled orders in millions of dollars. Shown here are the ?gures for new orders over a 21-year period. Use Excel to develop a regression model to ?t the trend effects for these data. Use a linear model and then try a quadratic model. How well does either model ?t the data? YEAR TOTAL NUMBER OF NEW ORDERS 1 55,022 2 55,921 3 64,182 4 76,003 5 87,327 6 85,139 7 99,513 8 115,109 9 131,629 10 147,604 11 156,359 12 168,025 13 162,140 14 175,451 15 192,879 16 195,706 17 195,204 18 209,389 19 227,025 20 240,758 21 243,643
4,137.00

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