In: Statistics and Probability
The following data is the unemployment rate in a metropolitan community over the last 10 years. Use exponential smoothing with a smoothing constant of a = 0.2, 0.4, 0.6, and 0.8 to find the best forecast for unemployment for next year. Using mean absolute deviation which forecast constant provides the best prediction of unemployment? Why?
| 
 Year  | 
 Rate  | 
 Year  | 
 Rate  | 
| 
 1  | 
 7.2  | 
 6  | 
 5.5  | 
| 
 2  | 
 7.0  | 
 7  | 
 6.7  | 
| 
 3  | 
 6.2  | 
 8  | 
 7.4  | 
| 
 4  | 
 5.0  | 
 9  | 
 6.8  | 
| 
 5  | 
 5.3  | 
 10  | 
 6.1  | 
Exponential smoothing method formula for forecasting is
   
where st is forecasted value for t period, xt
is actual value for t period
| smoothing factor | 0.2 | 0.4 | 0.6 | 0.8 | 0.2 | 0.4 | 0.6 | 0.8 | |||||
| Year | Rate | Forecast | Forecast | Forecast | Forecast | Difference | Abs.Diff. | Difference | Abs.Diff. | Difference | Abs.Diff. | Difference | Abs.Diff. | 
| 1 | 7.2 | 7.2 | 7.2 | 7.2 | 7.2 | 0.0 | |||||||
| 2 | 7 | 7.2 | 7.1 | 7.1 | 7.0 | 0.2 | 0.2 | 0.1 | 0.1 | 0.1 | 0.1 | 0.0 | 0.0 | 
| 3 | 6.2 | 7.0 | 6.8 | 6.6 | 6.4 | 0.8 | 0.8 | 0.6 | 0.6 | 0.4 | 0.4 | 0.2 | 0.2 | 
| 4 | 5.5 | 6.7 | 6.3 | 5.9 | 5.7 | 1.2 | 1.2 | 0.8 | 0.8 | 0.4 | 0.4 | 0.2 | 0.2 | 
| 5 | 5.3 | 6.4 | 5.9 | 5.5 | 5.4 | 1.1 | 1.1 | 0.6 | 0.6 | 0.2 | 0.2 | 0.1 | 0.1 | 
| 6 | 5.5 | 6.2 | 5.7 | 5.5 | 5.5 | 0.7 | 0.7 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 
| 7 | 6.7 | 6.3 | 6.1 | 6.2 | 6.5 | -0.4 | 0.4 | -0.6 | 0.6 | -0.5 | 0.5 | -0.2 | 0.2 | 
| 8 | 7.4 | 6.5 | 6.6 | 6.9 | 7.2 | -0.9 | 0.9 | -0.8 | 0.8 | -0.5 | 0.5 | -0.2 | 0.2 | 
| 9 | 6.8 | 6.6 | 6.7 | 6.9 | 6.9 | -0.2 | 0.2 | -0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 
| 10 | 6.1 | 6.5 | 6.5 | 6.4 | 6.3 | 0.4 | 0.4 | 0.4 | 0.4 | 0.3 | 0.3 | 0.2 | 0.2 | 
| Total | 5.8 | 4.0 | 2.4 | 1.2 | |||||||||
| MAD | 0.6 | 0.4 | 0.3 | 0.1 | 
Lowest MAD is for 0.8 smoothing constant