Hi,
I'm wondering if it is a bad violation to try to conduct a multiple regression analysis if some of the variables are non-parametric?
My dependent variable is olfactory test and I am trying to see if I can establish variables which are accounting for variance on this test. Some of the variables such as IQ, age etc are normally distributed but some of the test scores that I wish to put into the regression i.e. short-term memory scores, language production scores, are not.
I have used a combination of parametric and non-parametric stats (Kruskal-Wallis) to look at differences across groups already.
Can I use the multiple regression and what would the justification be?
Thanks
Mimi
I'm wondering if it is a bad violation to try to conduct a multiple regression analysis if some of the variables are non-parametric?
My dependent variable is olfactory test and I am trying to see if I can establish variables which are accounting for variance on this test. Some of the variables such as IQ, age etc are normally distributed but some of the test scores that I wish to put into the regression i.e. short-term memory scores, language production scores, are not.
I have used a combination of parametric and non-parametric stats (Kruskal-Wallis) to look at differences across groups already.
Can I use the multiple regression and what would the justification be?
Thanks
Mimi