1.Determine the error for each of the following forecasts. Compute MAD and MSE.
Period Value Forecast Error
1 202 - -
2 191 202
3 173 192
4 169 181
5 171 174
6 175 172
7 182 174
8 196 179
9 204 189
10 219 198
11 227 211
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?
Unit 5 [GB513: Business Analytics]
Year Factory Orders ($ billion) 1 2,512.7
2 2,739.2
3 2,874.9
4 2,934.1
5 2,865.7
6 2,978.5
7 3,092.4
8 3,356.8
9 3,607.6
10 3,749.3
11 3,952.0
12 3,949.0
13 4,137.0
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 64,1 82
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