Probability of an outcome given multiple attributes

AI Thread Summary
The discussion focuses on calculating the joint probability of obesity based on attributes like body fat percentage and BMI. The original poster seeks guidance on combining correlations between these attributes and the obesity outcome. Suggestions include using regression analysis techniques, specifically logit and probit models, to analyze binary dependent variables. Resources on joint probability distributions and discrete choice modeling are recommended for further exploration. The conversation emphasizes the need for a statistical approach to effectively assess the relationship between the attributes and obesity.
redeemer90
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Hi,

Lets say I have the following attributes...
Body fat percentage, Body mass index
Outcome = obese (yes / no)
I have data for all attributes and outcomes. What I'd like to do is a joint probability. For example I'd like to know what the probability is of someone being obese given their BMI and body fat percentage.

I can calculate the correlation between the attributes and the outcomes. My intuition tells me that I need to combine the correlation in some way, but can't seem to find any information on this.

Can someone point me in the right direction?

- Sid
 
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Thanks for all the help. Will look into all the links now and see which one suits my needs.

- Sid
 
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