While this is a nice graph and it is easy to make, the customer specifically wanted PROC REG, because PROC REG displays a table of statistics along with the fit plot.

The KEYLEGEND statement displays a legend inside the graph. These plots are integrated with the tabular output and are shown. Instead, they are displayed by the SCATTER statement, which uses the GROUP=SEX option to distinguish the groups. The graphical output consists of a fit diagnostics panel, a residual plot, and a fit plot. The NOMARKERS option suppresses the markers from being displayed by the REG statement. The STYLEATTRS statement creates the custom markers. The $SEX format provides meaningful labels in the legend. The ATTRPRIORITY=NONE option enables marker differences to be displayed as well as color differences. These examples all use the HTMLBlue style, which is an ATTRPRIORITY=COLOR style. Keylegend 'scatter' / location=inside across=1 position=topleft Human translations with examples: & help, helpviewer, main toolbar, fatal error, ji í klement, andrew neupokoev. Scatter y=weight x=height / group=sex name='scatter' Contextual translation of 'hjÃ¤lpmedicin' into English. However, some general options apply to most of the fit and confidence plots. The options that are available depend on the plot type. The plot statements include many options for controlling how the output is displayed. Reg y=weight x=height / cli clm nomarkers Fit plots represent the line of best fit (trend line) with confidence limits.

Styleattrs datasymbols=(squarefilled circlefilled) Title 'Simple Regression but with a Classification Variable Displayed - PROC SGPLOT' This information is produced and processed for inclusion in the fit plot as follows: proc reg datasashelp.class ods output fitstatisticsfs ParameterEstimates.

Sas fitplot