BookmarkSubscribeRSS Feed
Dedes93
Calcite | Level 5

Hi,

I need to run a linear regression with two categorical variables with 3 plus levels and one continuous variable on a continuous response variable, and is Thus using proc GLM.

 

Continuous variables:

- Price

- rating

 

Categorical varibles:

- product=(agriculture, rental, industry)

- customer_segment=(key, focus, corporate)

 

Is it possible to run the following regression, and if so how do you specify the interaction terms:

 

Proc GLM data=model1_data2 alpha=0.75;

class product customer_segment;

model price=rating product customer_segment industry*rating industry*key / solution;

output out=model1_v2_out r=res p=benchmark2 lcl=Q25 ucl=Q75;

Data model1_data2;

set model1_v2_out;

run;

 

So my issue is that i don't know how to specify interaction terms only involving specific levels of the categorical variable.

Hopes this makes sence.

I'm using SAS 9.4

 

Best, Andreas

1 REPLY 1
WarrenKuhfeld
Ammonite | Level 13

https://blogs.sas.com/content/iml/2016/02/22/create-dummy-variables-in-sas.html

Many procedures output coded variables.  You can then process the output data set to drop terms.  Personally, I like transreg because 1) I wrote it, 2) it has nice names and labels for terms, and 3) it outputs a macro variable with all of the terms in the model.

hackathon24-white-horiz.png

The 2025 SAS Hackathon Kicks Off on June 11!

Watch the live Hackathon Kickoff to get all the essential information about the SAS Hackathon—including how to join, how to participate, and expert tips for success.

YouTube LinkedIn

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 1 reply
  • 5394 views
  • 1 like
  • 2 in conversation