9. MULTIVARIATE REGRESSION FORECASTING › 9.5 Component Operation › 9.5.2 Delete Historical Data Observations Screen
9.5.2 Delete Historical Data Observations Screen
If you entered a Y in the Delete observations field on the
Multivariate Regression Forecasting screen, the Extended
Options Menu appears, as shown in Figure 9-6.
/--------------------------- Extended Options Menu -------------------------\
|Command ===> |
| |
|Inquiry Step: Multivariate Regression Analysis |
| |
|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) |
| |
\------------------------------------------------------------------------------/
Figure 9-6. 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 Multivariate Regression Forecasting control screen, you
may specify the deletion of selected historical observations
from the modeling process. Figure 9-7 shows the Delete
Historical Data Observations screen used to specify the
observations to be deleted from the analysis.
/-------------------- Delete Historical Data Observations --------------------\
|Command ===> Scroll ===> CSR |
| |
|Inquiry Step: Multivariate Regression Forecasting |
| |
|Line Cmds: I Insert D Delete R Repeat M Move C Copy |
| |
|Cmd --------- Dates to be dropped (specify in ddmonyy format) ---------- |
| - ------- ------- ------- ------- ------- ------- ------- ------- |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
| _ _______ _______ _______ _______ _______ _______ _______ _______ |
| |
| |
| |
| |
| |
| |
| |
| |
| |
\------------------------------------------------------------------------------/
Figure 9-7. Delete Historical Data Observations Control Screen
Note that the dates you specify on this screen must exactly
match the DATE value of the historical observations to be
excluded from the analysis.
Copyright © 2014 CA.
All rights reserved.
|
|