Basic Analysis and Graphing - SAS

116 Performing Bivariate Analysis Chapter 4
Fitting Menus
Line Style
Line Width
Report
Save Predicteds
Lets you select from the palette of line styles for each fit.
Gives three line widths for the line of fit. The default line width is the
thinnest line.
Turns the fit’s text report on and off.
Creates a new column in the current data table called Predicted
colname where colname is the name of the Y variable. This column
includes the prediction formula and the computed sample predicted
values. The prediction formula computes values automatically for rows
that you add to the table. This option is not available for the Fit Each
Value and Density Ellipse fits and is dimmed on those menus.
Note: You can use the Save Predicteds and Save Residuals
commands for each fit. If you use these commands multiple times or
with a grouping variable, it is best to rename the resulting columns in
the data table to reflect each fit.
Save Residuals
Creates a new column in the current data table called Residuals
colname where colname is the name of the Y variable. Each value is
the difference between the actual (observed) value and its predicted
value. Unlike the Save Predicteds command, this command does not
create a formula in the new column. This option is not available for the
Fit Each Value and Density Ellipse fits and is dimmed on those menus.
Note: You can use the Save Predicteds and Save Residuals
commands for each fit. If you use these commands multiple times or
with a grouping variable, it is best to rename the resulting columns in
the data table to reflect each fit.
Remove Fit
Removes the fit from the graph and removes its text report.
Linear Fits, Polynomial Fits, and Fit Special Only:
Confid Shaded Fit
Confid Shaded Indiv
Plot Residuals
Set Alpha Level
Draws the same curves as the Confid Curves Fit command and shades
the area between the curves.
Draws the same curves as the Confid Curves Indiv command and
shades the area between the curves.
Produces four diagnostic plots: residual by predicted, actual by
predicted, residual by row, and a normal quantile plot of the residuals.
See “Diagnostics Plots” on page 118.
Prompts you to enter the alpha level to compute and display
confidence levels for line fits, polynomial fits, and special fits.