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Table C.1

Slope (α) and intercept (β) of the linear regression for the [NII]6583Å and Hβ lines.

[NII] 6583Å
SFH ks SB99 BPASS SB99 BPASS
α β α β α β α β
0.34 ‘f.’ 0.840.210.21${0.84_{ - 0.21}^{0.21}}$ 40.870.380.38${40.87_{ - 0.38}^{0.38}}$ 0.850.210.21${0.85_{ - 0.21}^{0.21}}$ 40.880.370.38${40.88_{ - 0.37}^{0.38}}$ 0.890.220.22${0.89_{ - 0.22}^{0.22}}$ 40.830.390.38${40.83_{ - 0.39}^{0.38}}$ 0.880.210.21${0.88_{ - 0.21}^{0.21}}$ 40.870.380.38${40.87_{ - 0.38}^{0.38}}$
continous SF 1 0.850.220.21${0.85_{ - 0.22}^{0.21}}$ 41.080.380.39${41.08_{ - 0.38}^{0.39}}$ 0.840.220.21${0.84_{ - 0.22}^{0.21}}$ 41.090.380.39${41.09_{ - 0.38}^{0.39}}$ 0.990.210.21${0.99_{ - 0.21}^{0.21}}$ 40.750.380.38${40.75_{ - 0.38}^{0.38}}$ 0.980.220.22${0.98_{ - 0.22}^{0.22}}$ 40.800.380.39${40.80_{ - 0.38}^{0.39}}$
5 0.950.210.21${0.95_{ - 0.21}^{0.21}}$ 41.150.380.37${41.15_{ - 0.38}^{0.37}}$ 0.960.220.21${0.96_{ - 0.22}^{0.21}}$ 41.150.370.38${41.15_{ - 0.37}^{0.38}}$ 1.180.210.21${1.18_{ - 0.21}^{0.21}}$ 40.080.370.38${40.08_{ - 0.37}^{0.38}}$ 1.190.210.22${1.19_{ - 0.21}^{0.22}}$ 40.100.380.38${40.10_{ - 0.38}^{0.38}}$
10 0.910.210.21${0.91_{ - 0.21}^{0.21}}$ 41.300.380.37${41.30_{ - 0.38}^{0.37}}$ 0.930.210.21${0.93_{ - 0.21}^{0.21}}$ 41.290.370.38${41.29_{ - 0.37}^{0.38}}$ 1.110.210.21${1.11_{ - 0.21}^{0.21}}$ 40.000.380.37${40.00_{ - 0.38}^{0.37}}$ 1.120.210.21${1.12_{ - 0.21}^{0.21}}$ 40.000.380.38${40.00_{ - 0.38}^{0.38}}$

0.34 ‘f.’ 0.840.210.21${0.84_{ - 0.21}^{0.21}}$ 40.790.380.38${40.79_{ - 0.38}^{0.38}}$ 0.840.220.21${0.84_{ - 0.22}^{0.21}}$ 40.780.380.38${40.78_{ - 0.38}^{0.38}}$ 0.950.210.21${0.95_{ - 0.21}^{0.21}}$ 40.270.380.37${40.27_{ - 0.38}^{0.37}}$ 0.890.210.21${0.89_{ - 0.21}^{0.21}}$ 40.770.380.38${40.77_{ - 0.38}^{0.38}}$
quenching 5 Myr 1 0.850.220.21${0.85_{ - 0.22}^{0.21}}$ 41.030.370.39${41.03_{ - 0.37}^{0.39}}$ 0.810.210.21${0.81_{ - 0.21}^{0.21}}$ 41.080.380.38${41.08_{ - 0.38}^{0.38}}$ 0.890.210.21${0.89_{ - 0.21}^{0.21}}$ 40.720.380.38${40.72_{ - 0.38}^{0.38}}$ 0.960.210.21${0.96_{ - 0.21}^{0.21}}$ 40.750.380.38${40.75_{ - 0.38}^{0.38}}$
5 1.080.210.22${1.08_{ - 0.21}^{0.22}}$ 40.690.380.37${40.69_{ - 0.38}^{0.37}}$ 0.940.210.21${0.94_{ - 0.21}^{0.21}}$ 41.170.380.37${41.17_{ - 0.38}^{0.37}}$ 1.100.210.21${1.10_{ - 0.21}^{0.21}}$ 40.480.380.38${40.48_{ - 0.38}^{0.38}}$ 1.130.210.21${1.13_{ - 0.21}^{0.21}}$ 40.160.380.38${40.16_{ - 0.38}^{0.38}}$
10 0.970.210.21${0.97_{ - 0.21}^{0.21}}$ 40.830.390.37${40.83_{ - 0.39}^{0.37}}$ 0.910.210.21${0.91_{ - 0.21}^{0.21}}$ 41.320.380.38${41.32_{ - 0.38}^{0.38}}$ 1.010.210.22${1.01_{ - 0.21}^{0.22}}$ 40.550.390.38${40.55_{ - 0.39}^{0.38}}$ 1.090.210.21${1.09_{ - 0.21}^{0.21}}$ 40.090.370.37${40.09_{ - 0.37}^{0.37}}$

Notes. Linear regression log(L/erg s−1) = α log(SFR/M yr−1) + β computed with a Monte Carlo fitting technique.

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