Math.NET Numerics
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NIST/ITL StRD
Dataset Name: Wampler2 (Wampler2.dat)
File Format: ASCII
Certified Values (lines 31 to 50)
Data (lines 61 to 81)
Procedure: Linear Least Squares Regression
Reference: Wampler, R. H. (1970).
A Report of the Accuracy of Some Widely-Used Least
Squares Computer Programs.
Journal of the American Statistical Association, 65, pp. 549-565.
Data: 1 Response Variable (y)
1 Predictor Variable (x)
21 Observations
Higher Level of Difficulty
Generated Data
Model: Polynomial Class
6 Parameters (B0,B1,...,B5)
y = B0 + B1*x + B2*(x**2) + B3*(x**3)+ B4*(x**4) + B5*(x**5)
Certified Regression Statistics
Standard Deviation
Parameter Estimate of Estimate
B0 1.00000000000000 0.000000000000000
B1 0.100000000000000 0.000000000000000
B2 0.100000000000000E-01 0.000000000000000
B3 0.100000000000000E-02 0.000000000000000
B4 0.100000000000000E-03 0.000000000000000
B5 0.100000000000000E-04 0.000000000000000
Residual
Standard Deviation 0.000000000000000
R-Squared 1.00000000000000
Certified Analysis of Variance Table
Source of Degrees of Sums of Mean
Variation Freedom Squares Squares F Statistic
Regression 5 6602.91858365167 1320.58371673033 Infinity
Residual 15 0.000000000000000 0.000000000000000
Data: y x
1.00000 0
1.11111 1
1.24992 2
1.42753 3
1.65984 4
1.96875 5
2.38336 6
2.94117 7
3.68928 8
4.68559 9
6.00000 10
7.71561 11
9.92992 12
12.75603 13
16.32384 14
20.78125 15
26.29536 16
33.05367 17
41.26528 18
51.16209 19
63.00000 20