65202 - Add the regression equation and descriptive statistics to a linear regression model with PROC SGPLOT

Sample 65202: Add the regression equation and descriptive statistics to a linear regression model with PROC SGPLOT

This sample uses PROC REG to obtain the parameter estimates and the descriptive statistics for a simple linear regression model. Then PROC SGPLOT can display the regression equation and descriptive statistics. The INSET statements display the regression equation and descriptive statistics on the graph. Modify the POSITION= option in the INSET statement to display the regression and descriptive statistics in different locations on the graph. In order to run PROC REG, SAS/STAT must be installed.

 /* Suppress procedure output */
ods exclude all; 
/* Use PROC REG to obtain the parameter estimates and descriptive 
   statistics for a simple linear regression model */
ods graphics on;
proc reg data=sashelp.class;
model weight=height;
ods output fitplot=fitplotex1 fitstatistics=gofex1 parameterestimates=peex1 nobs=nex1 anova=aovex1;
quit;
/* Include subsequent procedure output */
ods select all;

/* Create macro variables for the statistics to add to the plot */

proc sql noprint;
  select count(model) into :obs
	 from fitplotex1;
	 select count(model) into :parms
	 from peex1;
quit;

data _null_;
  set aovex1;
        where source='Error';
        call symput('errdf',df);
        call symput('mse',put(ms,comma7.2));
run;

data _null_;
  set gofex1;
	if label2='R-Square' then call symput('rsq',cvalue2);
	if label2='Adj R-Sq' then call symput('adjrsq',cvalue2);
run;

data _null_;
   set peex1 end=last;
	 retain intercept height;
	 if variable='Intercept' then Intercept=estimate;
	 if variable='Height' then Height=estimate;
	 if last then
   call symput('eqn',"Weight="||Intercept||" + "||Height||"*Height");
run;

title 'PROC SGPLOT with Regression Equation and Descriptive Statistics';

proc sgplot data=sashelp.class;
  reg y=weight x=height / clm cli;
	inset ("Observations"="&obs" 
        "Parameters"= "&parms"
				"Error DF"="&errdf"
				"MSE"="&mse"
				"R-Square"="&rsq"
				"Adj R-Square"="&adjrsq")/ border position=bottomright;
  inset "Regression Equation" "&eqn" / position=topleft; 
run;

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Type:	Sample
Topic:	SAS Reference ==> Procedures ==> SGPLOT Query and Reporting ==> Creating Reports ==> Graphical ==> Graph Elements ==> Statistical Graph Enhancements

Date Modified:	2019-12-12 08:55:00
Date Created:	2019-12-05 10:27:23

Product Family	Product	Host	SAS Release
Product Family	Product	Host	Starting	Ending
SAS System	Base SAS	Windows Vista	9.2 TS1M0
		Windows Vista for x64	9.2 TS1M0
		64-bit Enabled AIX	9.2 TS1M0
		64-bit Enabled HP-UX	9.2 TS1M0
		64-bit Enabled Solaris	9.2 TS1M0
		HP-UX IPF	9.2 TS1M0
		Linux	9.2 TS1M0
		Linux for x64	9.2 TS1M0
		OpenVMS on HP Integrity	9.2 TS1M0
		Solaris for x64	9.2 TS1M0
		Microsoft Windows Server 2003 Standard Edition	9.2 TS1M0
		Microsoft Windows XP Professional	9.2 TS1M0
		Microsoft Windows Server 2003 Enterprise 64-bit Edition	9.2 TS1M0
		Microsoft Windows XP 64-bit Edition	9.2 TS1M0
		Microsoft® Windows® for x64	9.2 TS1M0
		Microsoft Windows Server 2003 Datacenter Edition	9.2 TS1M0
		Microsoft Windows Server 2003 Enterprise Edition	9.2 TS1M0
		Microsoft Windows Server 2003 Datacenter 64-bit Edition	9.2 TS1M0
		Microsoft® Windows® for 64-Bit Itanium-based Systems	9.2 TS1M0
		z/OS	9.2 TS1M0
		z/OS 64-bit	9.2 TS1M0

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Sample 65202: Add the regression equation and descriptive statistics to a linear regression model with PROC SGPLOT

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