and E(t) from the given data, fitted using Polymath
See Polymath program P13-9-b-regression.pol
POLYMATH Results
Polynomial Regression Report
Model: C02 = a1*C01 + a2*C01^2 + a3*C01^3 + a4*C01^4
Variable Value 95% confidence
a1 0.0889237 0.0424295
a2 -0.0157181 0.0163712
a3 7.926E-04 0.0019617
a4 -8.63E-06 7.288E-05
Regression not including free parameter
Number of observations = 13
Statistics
R^2 = 0.8653673
R^2adj = 0.8204897
Rmsd = 0.0065707
Variance = 8.107E-04
POLYMATH Results
Calculated values of the DEQ variables
Variable initial value minimal value maximal value final value
t 0 0 14 14
xbar 0 0 0.4106313 0.4106313
F 0 0 1.1137842 1.1137842
cbo 0.0313 0.0313 0.0313 0.0313
k 175 175 175 175
ODE Report (RKF45)
Differential equations as entered by the user
[1] d(xbar)/d(t) = E*x
[2] d(F)/d(t) = E
Explicit equations as entered by the user
[1] cbo = 0.0313
[2] k = 175
[3] x = 1-(1/(1+2*k*cbo^2*t))^0.5
[4] E = 0.0899237*t-0.0157181*t^2+0.000792*t^3-0.00000863*t^4