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Thurber
Dataset
Certified Values

Dataset
Name:

Thurber

Procedure: Nonlinear Least Squares Regression
Certification Method & Definitions

Data: 1 Response Variable (y)
1 Predictor Variable (x)
37 Observations
Higher Level of Difficulty
Observed Data

Model: y = f(x;beta) + e  =  (beta(1) + beta(2)x + beta(3)x^2 + beta(4)x^2) / (1 + beta(5)x + beta(6)x^2 + beta(7)x^3) + e




Parameter
     Certified
Estimate
     Certified
Std. Dev. of Est.
     beta(1) 1.2881396800E+03 4.6647963344E+00
     beta(2) 1.4910792535E+03 3.9571156086E+01
     beta(3) 5.8323836877E+02 2.8698696102E+01
     beta(4) 7.5416644291E+01 5.5675370270E+00
     beta(5) 9.6629502864E-01 3.1333340687E-02
     beta(6) 3.9797285797E-01 1.4984928198E-02
     beta(7) 4.9727297349E-02 6.5842344623E-03

Residual
     Sum of Squares 5.6427082397E+03
     Standard Deviation 1.3714600784E+01
     Degrees of Freedom 30