## Probability of an outcome given multiple attributes

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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 I don't know about joint probability, but I'd say something like this would do: P(being obese) = P(person with BMI x being obese) * P(person with Body Fat Percentage n being obese) http://en.wikipedia.org/wiki/Joint_p...y_distribution
 Recognitions: Homework Help Science Advisor You should look into regression analysis with a limited (binary) dependent variable, "limdep." See "logit" and "probit" under: http://en.wikipedia.org/wiki/Limited_dependent_variable

## Probability of an outcome given multiple attributes

It sounds like you're actually looking at discrete choice modeling: http://en.wikipedia.org/wiki/Discrete_choice

Found this under the article that Enuma linked to.
 Thanks for all the help. Will look in to all the links now and see which one suits my needs. - Sid

 Tags correlation