Logistic Regression Analysis

In chapter 8 the connection to log-linear models for contingency tables was stressed. The direct connection to regression analysis for continuous response variables will now be brought more clearly into focus. Assume as before that the response variable is binary and that it is observed together with p explanatory variables. For n cases the data will then consist of n vectors $$\left( {{y_V},{z_{1V}}, \ldots ,{z_{pV}}} \right),v = 1, \ldots ,n$$ of jointly observed values of the response variable and the explanatory variables.