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(Available only if the model consists of a single continuous effect.) The logistic probability plot provides a picture of what the logistic model is fitting. At each x value, the probability scale in the y direction is divided up (partitioned) into probabilities for each response category. The probabilities are measured as the vertical distance between the curves, with the total across all Y category probabilities summing to 1.
(Available only when there are replicated points with respect to the X effects and the model is not saturated.) Shows a lack of fit test, also called a goodness of fit test, that addresses whether more terms are needed in the model. See Lack of Fit Test.

Help created on 3/19/2020