Statistical Application Development with R and Python - Second Edition

Chapter 7. Logistic Regression Model

In this chapter, we will consider regression models when the regressand is dichotomous or binary in nature. The data is of the form , where the dependent variable Y_i, i = 1, …, n are the observed binary output assumed to be independent (in the statistical sense) of each other, and the vector X_i, i = 1,…, n, are the covariates (independent variables in the sense of a regression problem) associated with Y_i.

In the previous chapter, we considered linear regression models where the regressand was assumed to be continuous along with the assumption of normality for the error distribution. Here, we will consider a Gaussian ...