Graphics
Model: y = f(x;beta) + e = beta(1) (1 - (1) / (1 + beta(2)x / 2)^2)) + e
Fitted and Observed Values
versus
Predictor Variable

Fitted Observed Values vs. Predictor Variable 		Residuals
versus
Predictor Variable

Residuals vs. Predictor Variable