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   y vs. x
Dataset
Name:
MGH10

Procedure: Nonlinear Least Squares Regression
Certification Method & Definitions

Data: 1 Response Variable (y)
1 Predictor Variable (x)
16 Observations
Higher Level of Difficulty
Generated Data
Data file (ASCII Format)
Additional Information

Model: Exponential Class
3 Parameters (beta(1) to beta(3) to beta(1) to beta(3))
Starting Values

y = f(x;beta) + e = beta(1)exp[(beta(2) / (x + beta(3))] + e

Results: Certified Values
Graphics

Reference: Meyer, R. R. (1970).
Theoretical and computational aspects of nonlinear regression.
In Nonlinear Programming, Rosen, Mangasarian and Ritter (Eds).
New York, NY: Academic Press, pp. 465-486.