Table 5
Regression fits between dust and observing parameters.
Correlation | ![]() |
![]() |
1 − ζ |
---|---|---|---|
(%) | |||
c1 ↔ mSi∕mC | ![]() |
![]() |
99.8 |
![]() |
![]() |
![]() |
98.5 |
c2 ↔ mSi∕mC | ![]() |
![]() |
18.6 |
c3 ↔ mvsg∕mlgr | ![]() |
![]() |
99.2 |
c4 ↔ mvsg∕mlgr | ![]() |
![]() |
70.0 |
RV ↔ q | ![]() |
![]() |
95.5 |
![]() |
![]() |
![]() |
83.0 |
![]() |
![]() |
![]() |
93.1 |
![]() |
![]() |
![]() |
99.9 |
![]() |
![]() |
![]() |
98.5 |
Notes. Where not otherwise specified we use the single-cloud sight-lines with units as in Figs. 6–9. Columns 2 and 3 gives the best-fit parameters of the relationship y = ax + b derived by applying MLE. Column 4 gives the parameter (1 − ζ) which relates to the confidence that no selection bias affects the statistics. † Fit parameters are for the M sample.
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