QUESTION 4 Use the International Labor database Time series database on "Excel Databases.xls" showing the unemployment rate (%) over the past 40 years in various countries. Specifically for the US, create two different forecasts using exponential smoothing. Let forecast A use an exponential smoothing constant, a = 0.2, and forecast B use an exponential smoothing constant, a 0.8. What is the MAD for Forecast B? Round your answer to 2 decimal place.
QUESTION 4 Use the International Labor database Time series database on "Excel Databases.xls" showing the unemployment rate (%) over the past 40 years in various countries. Specifically for the US, create two different forecasts using exponential smoothing. Let forecast A use an exponential smoothing constant, a = 0.2, and forecast B use an exponential smoothing constant, a 0.8. What is the MAD for Forecast B? Round your answer to 2 decimal place.
Chapter4: Linear Functions
Section4.3: Fitting Linear Models To Data
Problem 24SE: Table 6 shows the year and the number ofpeople unemployed in a particular city for several years....
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Year | U.S. | Canada | Australia | Japan | France | Germany | Italy |
1 | 5.5 | 5.6 | 2.1 | 2.3 | 1.6 | 2 | 4.8 |
2 | 5.5 | 6.5 | 1.6 | 1.7 | 1.5 | 1.1 | 3.7 |
3 | 6.7 | 6.7 | 3.0 | 1.5 | 1.2 | 0.6 | 3.2 |
4 | 5.5 | 5.5 | 2.9 | 1.3 | 1.4 | 0.6 | 2.8 |
5 | 5.7 | 5.2 | 2.3 | 1.3 | 1.6 | 0.5 | 2.4 |
6 | 5.2 | 4.4 | 1.4 | 1.2 | 1.2 | 0.4 | 2.7 |
7 | 4.5 | 3.6 | 1.3 | 1.2 | 1.6 | 0.3 | 3.5 |
8 | 3.8 | 3.4 | 1.6 | 1.4 | 1.6 | 0.3 | 3.7 |
9 | 3.8 | 3.8 | 1.9 | 1.3 | 2.1 | 1.3 | 3.4 |
10 | 3.6 | 4.5 | 1.8 | 1.2 | 2.7 | 1.1 | 3.5 |
11 | 3.5 | 4.4 | 1.8 | 1.1 | 2.3 | 0.6 | 3.5 |
12 | 4.9 | 5.7 | 1.6 | 1.2 | 2.5 | 0.5 | 3.2 |
13 | 5.9 | 6.2 | 1.9 | 1.3 | 2.8 | 0.6 | 3.3 |
14 | 5.6 | 6.2 | 2.6 | 1.4 | 2.9 | 0.7 | 3.8 |
15 | 4.9 | 5.5 | 2.3 | 1.3 | 2.8 | 0.7 | 3.7 |
16 | 5.6 | 5.3 | 2.7 | 1.4 | 2.9 | 1.6 | 3.1 |
17 | 8.5 | 6.9 | 4.9 | 1.9 | 4.2 | 3.4 | 3.4 |
18 | 7.7 | 7.2 | 4.8 | 2 | 4.6 | 3.4 | 3.9 |
19 | 7.1 | 8.1 | 5.6 | 2 | 5.2 | 3.4 | 4.1 |
20 | 6.1 | 8.4 | 6.3 | 2.3 | 5.4 | 3.3 | 4.1 |
21 | 5.8 | 7.5 | 6.3 | 2.1 | 6.1 | 2.9 | 4.4 |
22 | 7.1 | 7.5 | 6.1 | 2 | 6.5 | 2.8 | 4.4 |
23 | 7.6 | 7.6 | 5.8 | 2.2 | 7.6 | 4 | 4.9 |
24 | 9.7 | 11 | 7.2 | 2.4 | 8.3 | 5.6 | 5.4 |
25 | 9.6 | 11.9 | 10.0 | 2.7 | 8.6 | 6.9 | 5.9 |
26 | 7.5 | 11.3 | 9.0 | 2.8 | 10 | 7.1 | 5.9 |
27 | 7.2 | 10.5 | 8.3 | 2.6 | 10.5 | 7.2 | 6 |
28 | 7 | 9.6 | 8.1 | 2.8 | 10.6 | 6.6 | 7.5 |
29 | 6.2 | 8.9 | 8.1 | 2.9 | 10.8 | 6.3 | 7.9 |
30 | 5.5 | 7.8 | 7.2 | 2.5 | 10.3 | 6.3 | 7.9 |
31 | 5.3 | 7.5 | 6.2 | 2.3 | 9.6 | 5.7 | 7.8 |
32 | 5.6 | 8.1 | 6.9 | 2.1 | 9.1 | 5 | 7 |
33 | 6.8 | 10.4 | 9.6 | 2.1 | 9.6 | 4.3 | 6.9 |
34 | 7.5 | 11.3 | 10.8 | 2.2 | 10.4 | 4.6 | 7.3 |
35 | 6.9 | 11.2 | 10.9 | 2.5 | 11.8 | 5.7 | 10.2 |
36 | 6.1 | 10.4 | 9.7 | 2.9 | 12.3 | 6.5 | 11.3 |
37 | 5.6 | 9.5 | 8.5 | 3.2 | 11.8 | 6.5 | 12 |
38 | 5.4 | 9.7 | 8.6 | 3.4 | 12.5 | 7.2 | 12.1 |
39 | 4.9 | 9.2 | 8.6 | 3.4 | 12.4 | 7.8 | 12.3 |
40 | 4.5 | 8.3 | 8.0 | 4.1 | 11.8 | 7.5 | 12.3 |
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