# How can I mitigate influence of other factors on correlation

Let's say we found strong correlation between meat consumption and life expectancy. We also know there's correlation between GNI and meet consumption and between GNI and life expectancy. Is there a way to mitigate influence of GNI in our first correlation so connection between meat consumption and life expectancy become more clear?

*GNI stands for Gross National Income

• I think you are probably looking for either partial correlation or some form of multiple regression although without more detail I am not clear which you want. – mdewey Nov 22 '18 at 15:42
• @mdewey what details should I provide, I'm just a beginner in stats, sorry – imbolc Nov 22 '18 at 15:45
• Specifying the scientific question might help. Are you interested in modelling one of the variables as a function of the others or just looking at their relationship? It might also help to know what GNI is. – mdewey Nov 22 '18 at 15:53
• @mdewey ah, sorry, its Gross national income en.wikipedia.org/wiki/Gross_national_income I think I'm looking at their relationship, trying to understand how meat consumption itself related to health. But if meat consumption strongly correlates with people wealth, which probably correlates with healthcare and other variables which can be the real cause of extended life span. So I'm wondering if it's possible somehow mathematically "substract" their influence. – imbolc Nov 22 '18 at 16:36
• Multiple regression would be worth investigating then. – mdewey Nov 22 '18 at 18:15