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   y vs. x
Dataset
Name:
MGH09

Procedure: Nonlinear Least Squares Regression
Certification Method & Definitions

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

Model: Rational Class
4 Parameters (beta(1) to beta(4) to beta(1) to beta(4))
Starting Values

y = f(x;beta) + e = (beta(1)(x^2 + xbeta(2)) + (x^2 + xbeta(3) + beta(4)) + e

Results: Certified Values
Graphics

Reference: Kowalik, J.S., and M. R. Osborne (1978).
Methods for Unconstrained Optimization Problems.
New York, NY: Elsevier North-Holland.