BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
matoma
Obsidian | Level 7

We didn't get to go over this very in depth in class so I'm a little confused as to how to go about this question. I'm assuming proc glm for the first question? I attached some descriptive statistics I performed on the data set. 

matoma_0-1588182105551.png

 

  1. Test the null hypothesis that there is no difference between the cholesterol of the diabetes group and the non-diabetes group. (HINT: Check the normality of cholesterol first)
  2. Using correlation coefficient >0.9 (or <-0.9) as the cutoff criterion, test the null hypothesis that there is no collinearity problem between BMI and age.
1 ACCEPTED SOLUTION

Accepted Solutions
PaigeMiller
Diamond | Level 26

Cholesterol is not a CLASS variable.

--
Paige Miller

View solution in original post

3 REPLIES 3
PaigeMiller
Diamond | Level 26

1. PROC GLM

2. PROC CORR

 

Although I think setting a correlation of 0.9 is a poor cutoff to determine if there is no collinearity problem.

--
Paige Miller
matoma
Obsidian | Level 7

proc glm data=mergec;

class diabetes cholesterol;

model cholesterol=diabetes;

run;

This is what I performed but I'm not sure I got the class and model components correct

PaigeMiller
Diamond | Level 26

Cholesterol is not a CLASS variable.

--
Paige Miller

SAS Innovate 2025: Save the Date

 SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!

Save the date!

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

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
  • 3 replies
  • 749 views
  • 0 likes
  • 2 in conversation