Visual Fitting (Pro) Examples - Eckerle4

 

 
  Data  
  400 0.0001575
405 0.0001699
410 0.000235
415 0.0003102
420 0.0004917
425 0.000871
430 0.0017418
435 0.00464
436.5 0.0065895
438 0.0097302
439.5 0.0149002
441 0.023731
442.5 0.0401683
444 0.0712559
445.5 0.1264458
447 0.2073413
448.5 0.2902366
450 0.3445623
451.5 0.3698049
453 0.3668534
454.5 0.3106727
456 0.2078154
457.5 0.1164354
459 0.0616764
460.5 0.03372
462 0.0194023
463.5 0.0117831
465 0.0074357
470 0.0022732
475 0.00088
480 0.0004579
485 0.0002345
490 0.0001586
495 0.0001143
500 0.000071
 
  Model  
 
y=(a/b)*exp(-0.5*((x-c)/b)^2)
 
  Initial Values  
 
a=1, b=1, c=1
 
  Output  
 
Nonlinear Curve Fitting
Independent Variable: Var1
Dependent Variable: Var2
Model: y=((-1.5543827178)/(-4.0888321754))*exp(-0.5* ((x-451.5412184361)/(-4.0888321754))^2)
Method: Global Optimistic Method

a -1.5543827178
b -4.0888321754
c 451.5412184361

Correlation Coeff. (R) .998555884179144
Coeff. of Determination (R^2) .997113853828791
Standard Error .125703611673325

 
     
 
 MGH09
 Thurber
 BoxBOD
 Rat42
 MGH10
 Rat43
 
   
 
 
 
 
     
 

Math Software -> Visual Math -> Visual Fitting

 

 

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