I've been told I need to have just the fitted curve and confidence interval in my graphic, not all the data points. I have literally no idea how to do it.
This is my code to make the predicted probablity graphic, and it's attached as a pdf.
proc glm data=teen.obdata; weight p_teenpreg; model p_adverse=minroadmiles miles_sq rural rural*miles_sq; store intmodel; run; quit;
proc plm source=intmodel; score data=teen.obdata out=_temp1_ predicted / ilink; run; ods listing gpath="\\Mac\Home\Desktop"; ods graphics / imagename="small" imagefmt=png; proc sgplot data = _temp1_; series x = minroadmiles y = predicted / group = rural; yaxis label = "Predicted Probability of Adverse Birth Outcomes"; xaxis values= (0 5 10 15 20 25 30 35 40) label = "Miles"; title “Predicted Probability by Road Miles”; run; title; ods graphics off;
The problem is that your model has covariates, so plotting the predicted values against one of the covariates (minroadmiles) does not result in a smooth curve. You can use the EFFECTPLOT statement in PROC PLM to produce a sliced fit plot, which enables you to visualize a slice through the regression surface. For more discussion and examples, see Visualize multivariate regression models by slicing continuous variables.
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