Visual Fitting (Pro) Examples - Thurber

 

 
  Data  
 

-3.07E+00 8.06E+01
-2.98E+00 8.42E+01
-2.92E+00 8.73E+01
-2.91E+00 8.72E+01
-2.84E+00 8.91E+01
-2.80E+00 8.96E+01
-2.70E+00 8.99E+01
-2.70E+00 9.01E+01
-2.63E+00 9.24E+01
-2.48E+00 9.59E+01
-2.36E+00 1.01E+02
-2.32E+00 1.01E+02
-1.50E+00 4.02E+02
-1.46E+00 3.91E+02
-1.27E+00 5.68E+02
-1.21E+00 6.35E+02
-1.10E+00 7.33E+02
-1.05E+00 7.59E+02
-9.15E-01 8.94E+02
-7.14E-01 9.91E+02
-5.66E-01 1.09E+03
-5.45E-01 1.08E+03
-4.00E-01 1.12E+03
-3.09E-01 1.18E+03
-1.09E-01 1.26E+03
-1.03E-01 1.27E+03
1.00E-02 1.29E+03
1.19E-01 1.33E+03
3.77E-01 1.35E+03
7.90E-01 1.41E+03
9.63E-01 1.43E+03
1.01E+00 1.42E+03
1.12E+00 1.44E+03
1.57E+00 1.46E+03
1.84E+00 1.47E+03
2.05E+00 1.45E+03
2.20E+00 1.46E+03

 
  Model  
 
y=(a+b*x+c*x^2+d*x^3)/(1+e*x+f*x^2+g*x^3)
 
  Initial Values  
  a=1, b=1, c=1, d=1, e=1, f=1, g=1
 
  Output  
 
Nonlinear Curve Fitting
Independent Variable: Var1
Dependent Variable: Var2
Model: y=(1297.9519373408+550.8641651828*x+( -126.7625473659)*x^2+(-64.2178719444)*x^3) /(1+.2132812909*x+.0178647838*x^2 +(-.0688105787)*x^3)
Method: Global Optimistic Method

a 1297.9519373408
b 550.8641651828
c -126.7625473659
d -64.2178719444
e .2132812909
f .0178647838
g -.0688105787

Correlation Coeff. (R) .999424519193595
Coeff. of Determination (R^2) .998849369565348
Standard Error 580.208147193729

 
   
 
 MGH09
 BoxBOD
 Rat42
 MGH10
 Eckerle4
 Rat43
 
     
   
 
 
 
 
     
 

Math Software -> Visual Math -> Visual Fitting

 

 

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