Message-ID: <CABaJH7-Lj3u51ReyB7-Vf4K5j1sM09QQVs+P96WSAioju+f2oQ@mail.gmail.com>
Date: 2012-05-28T14:16:26Z
From: eddie smith
Subject: need help in logistic regression
Hello everyone,
I tried to understand the relationship between temperature and the
death of an organism by using logistic regression.
glm(formula = Death ~ Temperature, family = binomial(link = "logit"),
data = mydata)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -87.9161 7.7987 -11.27 <2e-16 ***
Temperature 2.9532 0.2616 11.29 <2e-16 ***
>From the above summary, I could understand that log odds of death =
-87.9161 + 2.9532*Temperature. Odds=exp(log[odds]). Probability =
odds/(1+odds)
Assuming my data is randomly normal distributed with (u=0, standard
deviation=0.35), and I want to run it for n=10,000, how do I get to
probability from log odds?
Regards,
Eddie