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Dataset Name: Wampler5 (Wampler5.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 21523262.4678170
B1 1.00000000000000 23635517.3469681
B2 1.00000000000000 7793435.24331583
B3 1.00000000000000 1014755.07550350
B4 1.00000000000000 56456.6512170752
B5 1.00000000000000 1123.24854679312
Residual
Standard Deviation 23601450.2379268
R-Squared 0.224668921574940E-02
Certified Analysis of Variance Table
Source of Degrees of Sums of Mean
Variation Freedom Squares Squares F Statistic
Regression 5 18814317208116.7 3762863441623.33 6.7552445824012241E-03
Residual 15 0.835542680000000E+16 557028453333333.
Data: y x
7590001 0
-20479994 1
20480063 2
-20479636 3
25231365 4
-20476094 5
20489331 6
-20460392 7
18417449 8
-20413570 9
20591111 10
-20302844 11
18651453 12
-20077766 13
21059195 14
-19666384 15
26348481 16
-18971402 17
22480719 18
-17866340 19
10958421 20
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