  The chi-squared based covariance approach allows one to estimate the
correlations among desired observables related to nuclear matter directly from
a set of fit data without taking recourse to the distributions of the nuclear
matter parameters (NMPs). Such an approach is applied to study the correlations
of tidal deformability of neutron star with the slope and the curvature
parameters of nuclear symmetry energy governed by an extensive set of fit data
on the finite nuclei together with the maximum mass of the neutron star. The
knowledge of the distributions of NMPs consistent with the fit data is
implicitly inbuilt in the Hessian matrix which is central to this covariance
approach. Comparing our results with those obtained with the explicit use of
the distributions of NMPs, we show that the appropriate correlations among NMPs
as induced by the fit data are instrumental in strengthening the correlations
of the tidal deformability with the symmetry energy parameters, without it, the
said correlations tend to disappear. The interplay between isoscalar and
isovector NMPs is also emphasized.
