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Table 6
Regression fits between log LB/L⊙ and log MHI/M⊙.
| Method | Sample | Gradient | Intercept | Intrinsic scatter (dex) |
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| MLE | All | 0.94 ± 0.08 | 0.18 ± 0.80 | 0.20 ± 0.02 |
| MLE | Detections | 0.92 ± 0.09 | 0.37 ± 0.90 | 0.21 ± 0.02 |
| OLS | Detections | 0.74 ± 0.04 | 2.25 ± 0.40 | − |
Notes. MLE indicates the maximum likelihood estimator described in Sect. 5.2, and OLS is the ordinary least squares method. Error estimates were made using jackknife resampling, with the exception of the ordinary least squares fit, which used the standard error estimates.
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