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Hahn1
Dataset
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Dataset
Name:

Hahn1

Procedure: Nonlinear Least Squares Regression
Certification Method & Definitions

Data: 1 Response Variable (y)
1 Predictor Variable (x)
236 Observations
Average Level of Difficulty
Observed Data

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


These data are the result of a NIST study involving the thermal expansion of copper. The response variable is the coefficient of thermal expansion, and the predictor variable is temperature in degrees kelvin.