|Date: ||Tue, 28 Nov 2006 10:06:33 -0800|
|Reply-To: ||skoob <abhiscooby@GMAIL.COM>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||skoob <abhiscooby@GMAIL.COM>|
|Subject: ||Need Help for correlation analysis|
|Content-Type: ||text/plain; charset="iso-8859-1"|
I am trying to examine association (correlation) between 9 predictor
variables and one dependent variable using PROC CORR. My sample size is
31. the data has been obtained from observations.
The predictor variables are discretely distributed and the dependent
variable is continuously distributed (but not normal according to
Shapiro Wilk Test) Because of this I can't use Pearson's Correlation
Coefficient. I have 2 questions.
1. Is it ok to use Spearman's Correlation Coefficient? Is there any
better method of analysis?
2. If I want to do partial correlation analysis and my code looks like
PROC CORR SPEARMAN;
VAR ALN DESIGN_COST;
PARTIAL PC REGR PTE PTT TI FF AS ASB;
My interpretation of the code is that I will get the correlation
between DESIGN_COST and ALN while controlling other variables (PC REGR
PTE PTT TI FF AS ASB).
Is my interpretation correct?
Thanks in Advance.