\begin{table}%t4
\caption{\label{tab:correl}Results from statistical analysis of parameter pairs.}
%\centerline
 {\begin{tabular}{ccccc}
\hline
\hline
Param 1 & Param 2 & $N$ &   $\tau_{\rm Kend}$ & $\rho_{\rm Spear}$ \\
\hline
\rule{0pt}{2.6ex} $\log{\dot{M}_{\rm acc}}$ & Age                             & 16 & 0.05 & 0.08 \\ 
$B_z$                 & \rule{0pt}{2.6ex} $\log{\dot{M}_{\rm acc}}$           & 16 & 0.68 & 0.57 \\
$\log{L_{\rm x}}$     & Age                             & 19 & 0.13 & 0.28 \\
$B_z$                 & $\log{L_{\rm x}}$               & 19 & 0.09 & 0.07 \\
$B_z$                 & $\log{(L_{\rm x}/L_{\rm bol})}$ & 19 & 0.14 & 0.19 \\
$B_z$                 & $P_{\rm rot}$                   & 20 & 0.50 & 0.42 \\
$B_z$                 & Age                             & 27 & 0.03 & 0.05 \\ 
\hline
\end{tabular}}
\par
\smallskip
Notes:
Parameter pairs are given in Cols.~1 and~2.
$N$ is the number of data points,
$\tau_{\rm Kend}$ and $\rho_{\rm Spear}$ denote the 
probability for no correlation according to Kendall's
and Spearman's rank order correlation test, i.e.\ small
numbers indicate that a correlation is present.
\end{table}