If I have the following data (I have updated the data):
data={{{60, 1852.94}, {65, 178.035}, {70, 7.97143}, {75, 48.9479}, {80,
133.561}, {85, 8.65079}, {87, 1.78915}}
How can I fit it to the following equation?
eq = 1/((x*c1)/((Exp[B1/(x - T0)])^0.75)*(1 - Exp[((Tm - x)*c2)/Tm^2])) /. {T0 -> 259.246,B1 -> 2595.89, Tm -> 17088.2 + 273.15}
I am trying the following:
fun[x_] = NonlinearModelFit[data,eq, {c1, c2}, x] // Normal (*c1=1.07571*10^11*c1=732975, c2=1c2=2.67014*10^7*65721*10^6*)
Which gives me an erroneous c1
and c2
of c1=1.07571*10^11c1=732975
& c2=1c2=2.67014*10^765721*10^6
. When I do it in excel it gives me a c1
of 313634-65514626.34 and a c2
of -843468.474 which fits the data relative well. Why mathematica is not fitting the data or finding the correct c1
and c2
values?