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Table 7

Probability p (in percentage) that the two parameters (x, y) under consideration are not correlated, calculated with several statistical methods: Spearman’s, Kendall’s, and Cox-Hazard’s.

Parameters p Spearman p Kendall p Cox-Hazard Result Linear fit: y = a × x + b
x y a b

log [O i] 63 μm log [O i] 145 μm 0.07 0.06  < 0.1 Correlated 1.2  ±  0.21 1.8  ±  3.3
log [O i] 63 μm log CO J18–17 0.06 0.03  < 0.1 Correlated 0.64  ±  0.07 –7.1  ±  1.1
log LUV log [O i] 63 μm 0.33 0.32 Correlated 0.72  ±  0.20 –16.1  ±  0.1
log Teff log LUV 0.05  < 0.1  < 0.1 Correlated 9.3  ±  0.2 –36.5  ±  4.4
log L [ OI ] 6300   Å log [O i] 63 μm 0.88 0.45 Correlated 0.83  ±  0.21 –12.4  ±  1 = 0.9
log F63   μm log F1.3   mm 0.19 0.09 0.01 Correlated 0.72  ±  0.1 –0.20  ±  0.2

log F63   μm log [O i] 63 μm 4.6 4.4 2.7 Correlated?
log CO J 3–2 log [O i] 63 μm 3.7 2.4 Correlated?
log Teff log [O i] 63 μm 4.7 3.5 1.6 Correlated?
log LPAH6.2   μm log [O i] 63 μm 6.6 4.4 Correlated?
log LBrγ log [O i] 63 μm 4.6 4.4 Correlated?

log CO J 2–1 log [O i] 63 μm 54 31 Not correlated
log L log [O i] 63 μm 7.2 9.2 18 Not correlated
log LX log [O i] 63 μm 84 71 Not correlated
log F1.3   mm log [O i] 63 μm 34 27 44 Not correlated
log LAcc (BaDis) log [O i] 63 μm 84 83 Not correlated
log FIR/F ∗  log [O i] 63 μm 21 27 47 Not correlated
slope b log [O i] 63 μm 43 38 72 Not correlated

Notes. Under “result” we indicate the results of these statistical tests.

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