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Statistical Application Development with R and Python - Second Edition by Prabhanjan Narayanachar Tattar

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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 Logistic Regression Model, where the dependent variable Yi, i = 1, …, n are the observed binary output assumed to be independent (in the statistical sense) of each other, and the vector Xi, i = 1,…, n, are the covariates (independent variables in the sense of a regression problem) associated with Yi.

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 ...

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