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Table 7:

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.
    Linear fit $z_{\rm f}=1.4$ $z_{\rm f}=2$ $z_{\rm f}=3$
Index Redshift @200 km s-1 $\sigma $ @200 km s-1 t @200 km s-1 t @200 km s-1 t
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

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