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Table A.1

Analysis of the dependencies of the quantity on AV, O/H and MHI.

Model: y = α + βx, with
Total sample
x α β σ intr ρ
AV [mag]† (CCM89) −2.65 ± 0.15 0.09 ± 0.10 0.10 ± 0.10 0.5 ± 0.4
AV [mag]† (Calzetti) −2.67 ± 0.16 0.10 ± 0.10 0.09 ± 0.10 0.5 ± 0.4
12 + log (O/H) (Tremonti+04) −9 ± 2 0.7 ± 0.2 0.07 ± 0.10 0.88 ± 0.13
12 + log (O/H) N2 PP04 −10 ± 5 0.9 ± 0.5 0.06 ± 0.10 0.8 ± 0.3
12 + log (O/H) N2 M13 −12 ± 5 1.1 ± 0.6 0.08 ± 0.09 0.8 ± 0.2
12 + log (O/H) O3N2 PP04 −8 ± 2 0.6 ± 0.3 0.08 ± 0.09 0.8 ± 0.2
12 + log (O/H) O3N2 M13 −10 ± 3 0.9 ± 0.4 0.07 ± 0.10 0.8 ± 0.2
‡ −5.2 ± 1.2 0.27 ± 0.12 0.09 ± 0.07 0.8 ± 0.2
Low-M∗ sample (log M∗ [M⊙] < 10.0)
x α β σ intr ρ
AV [mag]† (CCM89) −2.62 ± 0.17 0.07 ± 0.11 0.10 ± 0.10 0.4 ± 0.5
AV [mag]† (Calzetti) −2.66 ± 0.15 0.09 ± 0.09 0.10 ± 0.10 0.5 ± 0.4
12 + log (O/H) (Tremonti+04) −9 ± 3 0.7 ± 0.3 0.07 ± 0.09 0.90 ± 0.11
12 + log (O/H) N2 PP04 −10 ± 4 0.8 ± 0.4 0.07 ± 0.04 0.8 ± 0.2
12 + log (O/H) N2 M13 −11 ± 5 1.0 ± 0.6 0.06 ± 0.05 0.8 ± 0.2
12 + log (O/H) O3N2 PP04 −7 ± 3 0.5 ± 0.3 0.06 ± 0.04 0.81 ± 0.19
12 + log (O/H) O3N2 M13 −11 ± 3 1.0 ± 0.4 0.07 ± 0.05 0.83 ± 0.19
‡ −4 ± 2 0.1 ± 0.2 0.16 ± 0.10 0.3 ± 0.4
High-M∗ sample (log M∗ [M⊙] ≥ 10.0)
x α β σ intr ρ
AV [mag]† (CCM89) −2.55 ± 0.19 0.03 ± 0.12 0.08 ± 0.10 0.2 ± 0.5
AV [mag]† (Calzetti) −2.57 ± 0.19 0.04 ± 0.11 0.10 ± 0.06 0.2 ± 0.5
12 + log (O/H) (Tremonti+04) −3 ± 8 0.0 ± 0.9 0.09 ± 0.10 0.0 ± 0.5
12 + log (O/H) N2 PP04 22 ± 17 −3 ± 2 0.06 ± 0.03 −0.8 ± 0.3
12 + log (O/H) N2 M13 27 ± 17 −3 ± 2 0.09 ± 0.05 −0.7 ± 0.2
12 + log (O/H) O3N2 PP04 5 ± 9 −0.9 ± 1.0 0.07 ± 0.05 −0.5 ± 0.4
12 + log (O/H) O3N2 M13 11 ± 14 −1.6 ± 1.7 0.09 ± 0.06 −0.5 ± 0.4
‡ −6.4 ± 1.9 0.4 ± 0.2 0.10 ± 0.05 0.8 ± 0.2

Notes. (α,β) are the best-fit linear regression coefficients, σintr is the intrinsic scatter about the best-fit regression line, and ρ is the correlation coefficient. We refer to Sect. 7 and to Table 2 for additional details on the regression analysis method.

(†)

Because of the large measurement errors on AV, of the order of ~ 0.5 mag, the regression analysis for the vs. AV relationships was performed without taking into account the errors on x, in order not to bias the results.

(‡)

In this case the regression analysis was performed by considering only the sources with an Hi line detection.

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