The Inverse-logit function defined as:
\(logit^-1(x) = e^x/(1+e^x)\) transforms continuous values to the range (0, 1),
which is necessary, since probabilities must be between 0 and 1 and maps
from the linear predictor to the probabilities
References
Andrew Gelman and Jennifer Hill. (2006).
Data Analysis Using Regression and Multilevel/Hierarchical Models.
Cambridge University Press.