Example of Double Exponential Smoothing

An online retailer wants to predict computer sales for the next six months. The retailer collects data on computer sales and software sales from the previous two years to predict future trends.

  1. Open the sample data, ComputerSales.MTW.
  2. Open the Double Exponential Smoothing dialog box.
    • Mac: Statistics > Time Series > Double Exponential Smoothing
    • PC: STATISTICS > Forecast > Double Exponential Smoothing
  3. In Y variable, enter Computer Sales.
  4. Under Weights to Use in Smoothing, enter 0.6 in For level and enter 0.13 in For trend.
  5. On the Forecast tab, select Number of forecasts to generate and enter 6.
  6. Click OK.

Interpret the results

On this smoothing plot, the fitted values closely follow the actual data. The forecasts predict a slight upward trend in sales for the next 6 months.

Method
Accuracy Measures
Forecasts
Period
Forecast
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