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| 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/