FORECAST.REPORT

The FORECAST.REPORT program produces a standard report of a forecast created using the FORECAST command.

The report shows the parameters of the forecast, including the forecast formula and Mean Absolute Percent Error, followed by a display of the forecasted values.

Syntax

FORECAST.REPORT

Examples

OLADM2437 Example 9-141 Report of Forecast Using the EXPONENTIAL Method

Assume that you have performed the forecast illustrated in Example 9-139, "Using the EXPONENTIAL Method". Running the FORECAST.REPORT program for that forecast produces the following report.

Forecasting Analysis
                     ====================
 
                 Variable to Forecast: SALES
                   Forecast dimension: MONTH
                      Forecast method: EXPONENTIAL
          Mean absolute percent error: 16.64%
 
        Forecast Equation: SALES = 87718.0009541883 *
                           (1.00553383457899 ** MONTH)
 
MONTH                   Actual Value    Fitted Value
--------------------    ------------    ------------
Jan95                      72,123.47       88,203.42
Feb95                      80,071.75       88,691.52
Mar95                      78,812.69       89,182.33
Apr95                      97,413.26       89,675.85
May95                      94,406.65       90,172.10
  ...                        ...               ...
Dec96                      72,095.02      100,140.38
  ...                        ...               ...

OLADM2438 Example 9-142 Report of Forecast Using the WINTERS Method

Assume that you have performed the forecast illustrated in Example 9-140, "Using the WINTERS Method". Running the FORECAST.REPORT program for that forecast produces the following report.

Forecasting Analysis
                     ====================
 
                 Variable to Forecast: SALES
                   Forecast dimension: MONTH
                      Forecast method: WINTERS
                                Alpha: 0.50
                                 Beta: 0.50
                                Gamma: 0.50
                          Periodicity: 12
          Mean absolute percent error: 0.20%
 
MONTH                   Actual Value    Fitted Value
--------------------    ------------    ------------
Jan95                      72,123.47       72,154.67
Feb95                      80,071.75       80,027.51
Mar95                      78,812.69       79,171.08
Apr95                      97,413.26       97,200.81
May95                      94,406.65       94,464.71
 ....                         ...             ...
Dec97                                      77,867.23