hi ... I think that this is more or less what the other folks were suggesting that you try ... * compute mean and 95% CI; proc summary data=sashelp.class nway; where age between 12 and 15; class age; var height; output out=stats (drop=_:) lclm=low mean=mean uclm=high; run; * rearrange the data; data stats (keep=age x1 x2); set stats; x1=mean; x2=low; output; x1=.; x2=high; output; run; goptions reset=all gunit=pct ftext='calibri' htext=3; * one symbol for the mean (dot), one symbol for the CI; symbol1 f='wingdings' v='6c'x c=blue w=2 h=4; symbol2 i=hilotj c=blue w=2; axis1 minor=none offset=(5,5)pct label=('AGE'); axis2 label=(a=90 'HEIGHT'); proc gplot data=stats; plot x1*age=1 x2*age=2 / overlay noframe haxis=axis1 vaxis=axis2; run; quit; ... View more