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Table 3

Correlation properties between log LMIR and log LX for various sample populations.

Sample Method N ρ log p σint a b σ r
G+09(well-resolved) fitexy 22 0.93 –9.52 ... 0.19  ± 0.05 1.11  ± 0.07 0.15 0.23
G+09(well-resolved) linmix_err 22 0.99  ± 0.02 ... 0.12  ± 0.15 0.18  ± 0.06 1.08  ± 0.09 0.15 0.23
LLAGN(detected) fitexy 12 0.78 –2.54 ... 0.42  ± 0.27 1.04  ± 0.17 0.40 0.25
LLAGN(detected) linmix_err 12 0.92  ± 0.16 ... 0.20  ± 0.25 0.16  ± 0.44 0.85  ± 0.28 0.40 0.25
LLAGN(all) linmix_err 25 0.98  ± 0.05 ... 0.25  ± 0.36 0.44  ± 0.46 1.09  ± 0.27 0.40 0.25
LLAGN(detected; DL) fitexy 12 0.88 –3.78 ... 0.06  ± 0.12 0.74  ± 0.08 0.42 0.25
LLAGN(detected; TF) fitexy 12 0.84 –3.14 ... 0.15  ± 0.17 0.84  ± 0.10 0.42 0.25
LINER(detected) fitexy 6 0.93 –2.12 ... 0.49  ± 0.32 1.01  ± 0.17 0.55 0.20
LINER(detected) linmix_err 6 0.89  ± 0.34 ... 0.34  ± 2.76 0.39  ± 1.49 0.94  ± 0.81 0.55 0.20
LINER(all) linmix_err 10 0.94  ± 0.24 ... 0.38  ± 5.39 0.39  ± 2.00 0.96  ± 1.10 0.55 0.20
G+09(all) fitexy 42 0.88 –14.01 ... 0.41  ± 0.03 1.12  ± 0.04 0.30 0.36
G+09(all) linmix_err 42 0.95  ± 0.03 ... 0.29  ± 0.19 0.35  ± 0.06 1.00  ± 0.08 0.30 0.36
LLAGN(detected) & G+09(all) fitexy 48 0.92 –19.02 ... 0.41  ± 0.03 1.12  ± 0.04 0.31 0.35
LLAGN(detected) & G+09(all) linmix_err 48 0.96  ± 0.02 ... 0.26  ± 0.17 0.35  ± 0.06 1.02  ± 0.06 0.31 0.35
LLAGN(all) & G+09(all) linmix_err 61 0.98  ± 0.01 ... 0.27  ± 0.17 0.34  ± 0.06 1.06  ± 0.06 0.31 0.35
SB bisector 22 0.92 –8.97 ... 2.96  ±  0.20 0.97  ±  0.07 3.06 0.25

Notes. Methods: see text for a description; for “linmix_err” the given values are medians of the parameters; all uncertainties are given as standard deviations; N: number of objects used for the analysis; ρ: linear correlation coefficient (for “fitexy”: Spearman Rank); p: null-hypothesis probability; σint: intrinsic scatter (estimated by “linmix_err”); a,b: fitting parameters of log LMIR − 43 = a + b(log LX − 43); : average of the luminosity ratio r = log (LMIR/LX) with σr its standard deviation.

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