\begin{table}%t7 %\centering \par \caption {\label{table.t}Comparison between the indices predicted by the linear fit to the data at $\sigma=200$~km~s$^{-1}$ and the ones predicted -- at the same velocity dispersion-- in a passively evolving model with formation redshifts of $z_{\rm f}=1.4$, $z_{\rm f}=2$, and $z_{\rm f}=3$. Column~3 shows the predicted value by the linear fit at $\sigma=200$~km~s$^{-1}$, Col.~4 the standard deviation among the relation; Cols.~5, 7, and~9 show the value predicted by the model with redshift formations of 1.4, 2, and 3~respectively. Columns~6, 8, and~10 shows the $t$-parameter of comparing these two values (fitted and predicted) using a Student's $t$-test. A $t$~value higher than~1.96 would indicate that the probability that the two values are different by chance is less than~5\% (for samples larger than~40 and~6\% for smaller samples). As can be seen, none of the values show significant differences from the model.} \begin{tabular}{rr rr rr rrrr} \hline\hline & & \multicolumn{2}{c}{Linear fit}&\multicolumn{2}{c}{$z_{\rm f}=1.4$} &\multicolumn{2}{c}{ $z_{\rm f}=2$} &\multicolumn{2}{c}{ $z_{\rm f}=3$}\\ Index & Redshift & @200~km~s$^{-1}$ & $\sigma$ & @200~km~s$^{-1}$ & $t$& @200~km~s$^{-1}$ & $t$ & @200~km~s$^{-1}$ & $t$ \\ \hline Fe4383 & 0.02 &$ 4.70$ & 0.41 & $ 4.09$ & 1.5 & $ 4.33$ & 0.9& $ 4.38$ & 0.8\\ & 0.45 &$ 3.58$ & 0.82 & $ 3.39$ & 0.2 & $ 3.57$ & 0.0& $ 3.65$ & 0.1\\ & 0.55 &$ 3.73$ & 0.38 & $ 3.06$ & 1.7 & $ 3.40$ & 0.8& $ 3.47$ & 0.8\\ & 0.75 &$ 2.77$ & 1.24 & $ 2.56$ & 0.2 & $ 3.19$ & 0.3& $ 3.34$ & 0.4\\ H$\delta$A & 0.02 &$-1.40$ & 0.79 & $ -1.37$ & 0.0 & $-1.85$ & 0.6& $-1.93$ & 0.7\\ & 0.45 &$-0.23$ & 1.12 & $ -0.08$ & 0.1 & $-0.47$ & 0.2& $-0.64$ & 0.4\\ & 0.55 &$ 0.09$ & 1.09 & $ 0.58$ & 0.4 & $-0.02$ & 0.1& $-0.26$ & 0.3\\ & 0.75 &$ 0.63$ & 1.10 & $ 1.54$ & 0.8 & $ 0.33$ & 0.3& $ 0.05$ & 0.5\\ H$\gamma$F & 0.02 &$-1.48$ & 0.44 & $ -0.86$ & 1.4 & $-1.09$ & 0.9& $-1.13$ & 0.8\\ & 0.45 &$-0.61$ & 0.66 & $ 0.10$ & 1.1 & $-0.36$ & 0.4& $-0.48$ & 0.2\\ & 0.55 &$-0.48$ & 0.66 & $ 0.31$ & 1.1 & $-0.09$ & 0.6& $-0.21$ & 0.4\\ & 0.75 &$0.04$ & 0.97 & $ 0.96$ & 0.9 & $ 0.16$ & 0.12& $-0.04$ & 0.0\\ \hline \end{tabular} \end{table}