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Jolly
Calcite | Level 5

Hello,

I was wondering, how in the Proc Reg procedure can you simply predict a value, with a prediction interval, for a new observation?  Such as, you run proc reg and get the regrssion equation, then I want to calculate the predicted value and prediction interval when x=5.5.

I am using SAS 9.4

 

proc reg data=regression;

model y= x

run;

Thank you,
Jeff S. O.

1 ACCEPTED SOLUTION

Accepted Solutions
ballardw
Super User

Easiest is often to include X (predictor) value(s) of interest with missing for the dependent variables.

Then either options on the Model Statement or create an output set:

Output out=want p=Ypredicted LCL=ylowerin LCLM=ylowermean UCL=yupperin UCLM=yuppermean;

 

Ypredicted would be the associated Predicted Y for any X, including the ones with missing Y, the LCL and LCLM do lower confidence limits for single obs or the mean and UCL UCLM for the upper.

 

 

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4 REPLIES 4
ballardw
Super User

Easiest is often to include X (predictor) value(s) of interest with missing for the dependent variables.

Then either options on the Model Statement or create an output set:

Output out=want p=Ypredicted LCL=ylowerin LCLM=ylowermean UCL=yupperin UCLM=yuppermean;

 

Ypredicted would be the associated Predicted Y for any X, including the ones with missing Y, the LCL and LCLM do lower confidence limits for single obs or the mean and UCL UCLM for the upper.

 

 

Jolly
Calcite | Level 5

Thank you!

Reeza
Super User

Look at Proc Score. 

 

A quick and dirty method is to include the values in your original dataset but leave the dependent variable blank/missing. 

Then use the output statement with the p= option to get the predicted values out. 

sbxkoenk
SAS Super FREQ

To deploy a PROC REG model on new data , Look at PROC SCORE.

SAS/STAT(R) 14.1 User's Guide

The SCORE Procedure

Example 100.2 Regression Parameter Estimates
 
See also:
Usage Note 33307: Scoring (computing predicted values) for new observations or a validation data set
 
Koen

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