BestFitLineExample

BestFitLineExample - m= 1.300 sigma_m= 0.064 c= 12.404...

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x y sigma w w*x w*y w*x^2 w*x*y 0 12.1 0.2 2.50E+01 0.00E+00 3.03E+02 0.00E+00 0.00E+00 1 14.3 0.5 4.00E+00 4.00E+00 5.72E+01 4.00E+00 5.72E+01 2 15.4 0.3 1.11E+01 2.22E+01 1.71E+02 4.44E+01 3.42E+02 3 17.2 0.5 4.00E+00 1.20E+01 6.88E+01 3.60E+01 2.06E+02 4 18 0.8 1.56E+00 6.25E+00 2.81E+01 2.50E+01 1.13E+02 5 18.5 0.9 1.23E+00 6.17E+00 2.28E+01 3.09E+01 1.14E+02 6 19 1.1 8.26E-01 4.96E+00 1.57E+01 2.98E+01 9.42E+01 7 21.7 1.5 4.44E-01 3.11E+00 9.64E+00 2.18E+01 6.75E+01 8 22.9 1.7 3.46E-01 2.77E+00 7.92E+00 2.21E+01 6.34E+01 9 23 0.6 2.78E+00 2.50E+01 6.39E+01 2.25E+02 5.75E+02 10 26.1 0.8 1.56E+00 1.56E+01 4.08E+01 1.56E+02 4.08E+02 sums: 5.29E+01 1.02E+02 7.89E+02 5.95E+02 2.04E+03 n= 11 x_bar= 1.93E+00 y_bar= 1.49E+01 F= 6.87E+02 E= 5.17E+02 D= 3.98E+02
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Unformatted text preview: m= 1.300 sigma_m= 0.064 c= 12.404 sigma_c= 0.213 Best line is y = (1.300 +/- 0.063)x + (12.40 +/- 0.21)-1 1 2 3 4 5 6 7 8 9 10 5 10 15 20 25 30 Sample Line Fit X Y w*y^2 y_fit d d/sigma (d/sigma)^2 3.66E+03 12.40-0.30-1.52 2.32 8.18E+02 13.70 0.60 1.19 1.42 2.64E+03 15.00 0.40 1.32 1.74 1.18E+03 16.30 0.90 1.79 3.21 5.06E+02 17.60 0.40 0.49 0.24 4.23E+02 18.90-0.40-0.45 0.20 2.98E+02 20.20-1.20-1.10 1.20 2.09E+02 21.51 0.19 0.13 0.02 1.81E+02 22.81 0.09 0.06 0.00 1.47E+03 24.11-1.11-1.84 3.39 1.06E+03 25.41 0.69 0.87 0.75 1.24E+04 chi^2= 14.49 11...
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BestFitLineExample - m= 1.300 sigma_m= 0.064 c= 12.404...

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