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Dataset Name: DanWood (DanWood.dat)
File Format: ASCII
Starting Values (lines 41 to 42)
Certified Values (lines 41 to 47)
Data (lines 61 to 66)
Procedure: Nonlinear Least Squares Regression
Description: These data and model are described in Daniel and Wood
(1980), and originally published in E.S.Keeping,
"Introduction to Statistical Inference," Van Nostrand
Company, Princeton, NJ, 1962, p. 354. The response
variable is energy radieted from a carbon filament
lamp per cm**2 per second, and the predictor variable
is the absolute temperature of the filament in 1000
degrees Kelvin.
Reference: Daniel, C. and F. S. Wood (1980).
Fitting Equations to Data, Second Edition.
New York, NY: John Wiley and Sons, pp. 428-431.
Data: 1 Response Variable (y = energy)
1 Predictor Variable (x = temperature)
6 Observations
Lower Level of Difficulty
Observed Data
Model: Miscellaneous Class
2 Parameters (b1 and b2)
y = b1*x**b2 + e
Starting values Certified Values
Start 1 Start 2 Parameter Standard Deviation
b1 = 1 0.7 7.6886226176E-01 1.8281973860E-02
b2 = 5 4 3.8604055871E+00 5.1726610913E-02
Residual Sum of Squares: 4.3173084083E-03
Residual Standard Deviation: 3.2853114039E-02
Degrees of Freedom: 4
Number of Observations: 6
Data: y x
2.138E0 1.309E0
3.421E0 1.471E0
3.597E0 1.490E0
4.340E0 1.565E0
4.882E0 1.611E0
5.660E0 1.680E0