Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: Checking to see if the association between two variables is linear or otherwise


From   Amal Khanolkar <Amal.Khanolkar@ki.se>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: Checking to see if the association between two variables is linear or otherwise
Date   Fri, 12 Oct 2012 21:56:35 +0000

Hi,


I'm trying to figure out if linear regression is the appropriate choice for my research question - I would like to analyze the association of BMI and education (BMI is continuous and education categorical). Ideally I would just run a linear regression with BMI as the outcome and education as the principle explanatory variable. 

However my hypothesis is that low educated people are both likely to have a low and a high BMI, i.e. the association between education and BMI is probably more 'u shaped' than linear.

What is the best way to check if the association between a continuous and categorical variable is linear or otherwise...? Preferably, I would like to be able to plot such a shape using Stata.

Thanks,

/Amal.
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index