NIST/ITL StRD 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