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.
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
... ... ...
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