In a logistic regression logit(p)=β0+β1Xlogit(p) = \beta_0 + \beta_1 Xlogit(p)=β0+β1X, what does the coefficient exp(β1)\exp(\beta_1)exp(β1) represent?
The change in probability for a unit change in XXX.
The odds ratio for a unit increase in XXX.
The relative risk for a unit increase in XXX.
The ratio of probabilities for a unit increase in XXX.