Introduction to Logistic Models
Logistic regression fits nominal Y responses to a linear model of X terms. To be more precise, it fits probabilities for the response levels using a logistic function. For two response levels, the function is:
Equation shown here where r1 is the first response
or equivalently:
Equation shown here where r1 and r2 are the two responses
For r nominal responses, where Equation shown here, it fits sets of linear model parameters of the following form:
The fitting principal ...

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