^{39}In the parentheses we see the conﬁdence level. This is deﬁned as the probability that the
parameters are within the range deﬁned by the error. For a correct calculation of the conﬁdence
level, every point should be weighted by its error - in our example this is not happening and this
is the reason why the conﬁdence level is so low. A value below 5% is too low and it
indicates that the model needs corrections. It is also assumed that the distribution of
the measurements is Gaussian and if not, the computed numerical values are only
indicative.