Resumen:
\Ve discuss the problem of fitting an experimental data
sel into a linear curve when experimental uncertainties can not be
overlooked. Difficulties w¡th the standard least-squares method are
pointed out. An alternative weighted least-squared method, depending
on knowledge about the uncertainties ror fouT different cases.is prc.
sented, and we use it to tl.nalyzc the data from a particular cxperiment.
From this application it is shown that we get better results using the
proper ra.se