degrees of freedom    (FIT_NDF)                        : 31
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 7.69399e-06
variance of residuals (reduced chisquare) = WSSR/ndf   : 5.91974e-11

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

c               = -0.000207192     +/- 1.441e-06    (0.6957%)
d               = 0.00505222       +/- 2.068e-05    (0.4093%)


degrees of freedom    (FIT_NDF)                        : 33
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.66896e-06
variance of residuals (reduced chisquare) = WSSR/ndf   : 4.4475e-11

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

a               = -0.000196405     +/- 1.224e-06    (0.6234%)
b               = 0.00491127       +/- 1.759e-05    (0.3581%)

m1
1/-0.000207192
-4826.44117533495501756824 +/- 33.57
b1
24.38424263485076643885 +/- 0.10

m2
1/-0.000196405
-5091.52007331788905577760 +/- 31.74
b2
25.00582979048394898296 +/- 0.09

4826.44 * 8.3145
40129.435380

5091.52 * 8.3145
42333.443040


cat Messwerte.txt | awk '{print "3383.81-0.287154*sqrt(1.59862*10^8 - 21000* " $2 ")"}'|bc -l
cat Messwerte.txt | awk '{print "3383.81-0.287154*sqrt(1.59862*10^8 - 21000* " $3 ")"}'|bc -l


-4826.44/(11.52-24.3842)
375.18384353477091463130
-5091.52/(11.52-25.0058)
377.54675288080796096634

In[132]:= t0 := 273.15
m := -5091.52
b := 25.0058
sm := 31.74
sb := 0.09

In[137]:= Exp[m/t0 + b]

Out[137]= 581.601

In[138]:= Sqrt[(E^(b + m/t0)/t0*sm)^2 + (E^(b + m/t0)*sb)^2]

Out[138]= 85.4824

In[139]:= Simplify[Sqrt[(E^(b + m/t0)/t0*sm)^2 + (E^(b + m/t0)*sb)^2]]

Out[139]= 85.4824

In[140]:= m/(Log[101300] - b)

Out[140]= 377.71

In[141]:= Sqrt[(sm/(Log[101300] - b))^2 + ((
  m*sb)/(Log[101300] - b)^2)^2]

Out[141]= 3.45018

In[142]:= t0 := 273.15
m := -4826.44
b := 24.3842
sm := 33.57
sb := 0.10

In[147]:= Exp[m/t0 + b]

Out[147]= 824.388

In[148]:= Sqrt[(E^(b + m/t0)/t0*sm)^2 + (E^(b + m/t0)*sb)^2]

Out[148]= 130.619

In[149]:= m/(Log[101300] - b)

Out[149]= 375.354

In[150]:= Sqrt[(sm/(Log[101300] - b))^2 + ((
  m*sb)/(Log[101300] - b)^2)^2]

Out[150]= 3.91631

