Visual Fitting (Pro) Examples - Rat43

 

 
  Data  
  1.00E+00 1.61E+01
2.00E+00 3.38E+01
3.00E+00 6.58E+01
4.00E+00 9.72E+01
5.00E+00 1.92E+02
6.00E+00 3.26E+02
7.00E+00 3.87E+02
8.00E+00 5.21E+02
9.00E+00 5.90E+02
1.00E+01 6.52E+02
1.10E+01 7.25E+02
1.20E+01 7.00E+02
1.30E+01 6.90E+02
1.40E+01 6.38E+02
1.50E+01 7.17E+02
 
  Model  
 
y=a/((1+exp(b-c*x))^(1/d))
 
  Initial Values  
 
a=100, b=1, c=1, d=1
 
  Output  
 
Nonlinear Curve Fitting
Independent Variable: Var1
Dependent Variable: Var2
Model: y=699.7204580663/((1+exp(5.2804080783-.7 600227447*x))^(1/1.2804027233))
Method: Global Optimistic Method

a 699.7204580663
b 5.2804080783
c .7600227447
d 1.2804027233

Correlation Coeff. (R) .995920435163884
Coeff. of Determination (R^2) .99185751317702
Standard Error 297.475569313681

 
     
 
 MGH09
 Thurber
 BoxBOD
 Rat42
 MGH10
 Eckerle4
 
   
 
 
 
 
     
 

Math Software -> Visual Math -> Visual Fitting

 

 

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