How do i read age:gender1
?
Gender1 is male.
Call:
glm(formula = cardio ~ gender + age + gender * age, family = binomial,
data = CVtrain)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -1.060e+01 3.328e-01 -31.843 < 2e-16 ***
age 5.164e-02 2.108e-03 24.492 < 2e-16 ***
gender1 4.146e-01 1.758e-01 2.358 0.018379 *
age:gender1 -8.018e-03 3.283e-03 -2.442 0.014597 *
cardio
of 1 unit increase in age is exp(-8.018e-03) = 99% more for those that are male as compared to females" ?? By that measure,gender
shouldn't be included at all. $\endgroup$