10. BUSINESS ELEMENT FORECASTING › 10.5 Component Operation › 10.5.2 Delete Selected Historical Observations Screen
10.5.2 Delete Selected Historical Observations Screen
If you entered a Y in the Specify historical data
observations to delete on the Business Element Forecasting
screen, the Extended Options Menu appears, as shown in Figure
10-6.
/--------------------------- Extended Options Menu -------------------------\
|Command ===> |
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|Inquiry Step: Business Element Forecasting |
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|Print Reports ===> YES (YES/NO) |
|Maximum R-Square for report ===> 0.55 (0.00-1.00) |
|P-Value flag ===> 0.05 (0.000-1.000) |
| |
|Delete historical data observations ===> N (Y/N/R) |
|Transform historical observations ===> N (Y/N/R) |
| |
\------------------------------------------------------------------------------/
Figure 10-6. Extended Options Menu
Print The Print Reports parameter controls the
Reports: printing of the Analysis of the Model and
Residual Analysis reports. If you type YES,
these reports are produced. If you type NO and
the forecasted file is NOT a Business Element
File, these reports are suppressed. These
reports will always be produced for Business
Element Files; however, the R-Square Ranking
Report is not produced.
Maximum The Maximum R-Square for report parameter is
R-Square used during the production of the R-Square
for report: Ranking Report to control the flagging of
particular forecasts. If the R-Square of a
generated model is less than this value, it
will be flagged with an RS-WARN flag. A value
of 1.0 in this field will disable the
production of the RS-WARN flag in the R-Square
Ranking Report.
P-Value The P-Value Flag is also used in the production
flag: of the R-Square Ranking Report to determine if
any of the P-values of the model variables
should be flagged with the P-WARN flag. If any
P-value in the model is greater than this
value, it will be flagged in the report. A
value of 1.0 in this field will disable the
production of the P-WARN flag in the R-Square
Ranking Report.
Note: The RS-WARN flag takes precedence over the P-WARN
flag. This means that if a model exceeds both of these
warning criteria, the RS_WARN flag will be printed.
If you specify historical data observations for deletion on
the Business Element Forecasting screen, you may specify the
deletion of selected historical observations from the
modeling process. Although deleted observations still appear
in the reports, they are not used to develop the regression
model. Use the Delete Historical Data Observations screen
shown in Figure 10-7 to delete observations.
/-------------------- Delete Historical Data Observations --------------------\
| Command ===> Scroll ===> CSR |
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| Inquiry Step: Business Element Forecasting |
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| Line Cmds: I Insert D Delete R Repeat M Move C Copy |
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| Cmd --------- Dates to be dropped (specify in ddmonyy format) ---------- |
| - ------- ------- ------- ------- ------- ------- ------- ------- |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
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\------------------------------------------------------------------------------/
Figure 10-7. Delete Selected Historical Observations Screen
Note that the date values you specify on this screen must
exactly match the DATE value of the historical observations
in the Dependent and Independent files to be excluded from
the analysis.
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All rights reserved.
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