This document provides information on performing simple linear regression using the REG procedure in SAS. It describes the syntax for the PROC REG statement and MODEL statement to define the dependent and independent variables. Examples are given to generate random x and y data, perform linear regression with PROC REG and model statement, and output diagnostic plots of the residuals versus predicted values and x versus y.

1. REG procedure:
Simple linear regression
2013.03.14

2. Syntax
PROC REG <options> ;
MODEL dependents=<regressors> < / options > ;
PLOT <yvariable*xvariable> <=symbol> <...yvariable*xvariable> <=symbol> </ options> ;
RUN;

3. Syntax
PROC REG <options> ;
MODEL dependents=<regressors> < / options > ;
PLOT <yvariable*xvariable> <=symbol> <...yvariable*xvariable> <=symbol> </ options> ;
RUN;
• y=x
• weight = age height

4. Syntax
PROC REG <options> ;
MODEL dependents=<regressors> < / options > ;
PLOT <yvariable*xvariable> <=symbol> <...yvariable*xvariable> <=symbol> </ options> ;
RUN;
Variable names
Keywords

5. Example
data example1;
do i=1 to 200;
x=10*rannor(100);
y=x+10*rannor(3);
output;
end;
drop i;
;
proc reg;
model y=x;
run;

6. Output

7. Output: Residual diagnosis

8. Example
data example1;
do i=1 to 200;
x=10*rannor(100);
y=x+10*rannor(3);
output;
end;
drop i;
;
proc reg CORR;
model y=x/CLM CLI CLB;
plot residual.*predicted. y*x;
run;

9. Example
data example1;
do i=1 to 200;
x=10*rannor(100);
y=x+10*rannor(3);
output;
end;
drop i;
;
proc reg CORR;
model y=x/CLM CLI CLB;
plot residual.*predicted. y*x;
run;