Graphics
Model: y = f(x;beta) + e  =  (beta(1)) / (1 + exp[beta(2) - beta(3)x])^1/beta(4) + e

Fitted and Observed Values
versus
Predictor Variable


Fitted and Observed Values vs. Predictor Variable
Residuals
versus
Predictor Variable


Residuals vs. Predictor Variable