Question

In a few sentences, explain to me why the two key conditions for fitting a logistic regression model are important to have.

Answer #1

**The outcome variable of general logistic model
is**

**where, i is the index used for the i-th
observation.**

**The predictor variables are represented by**

**.**

**Now, Yitakes value 1 with probability pi; So, Yi is a
two level categorical variable.**

**The two main conditions for fitting a logistic
regression model are**

**(1)**

**Each predictor xi is linearly related to
logit(pi) if all other predictors are held
constant.**

**And,**

**(2)**

**Each outcome Yi is independent of the other
outcomes.**

**So, the outcome variables are independent.**

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