Table 1.
Results of the multivariate linear regression on observed datasets.
| Dataset | log(ℒ/ℒ⊙) | Teff | log g | Const | Adj. R2 |
|---|---|---|---|---|---|
| Gal, all log(ℒ/ℒ⊙) | 0.000 | 0.000 | 0.000 | 0.000 | 0.331 |
| 25.72 | −15.33 | 12.00 | −9.33 | ||
| Gal, log(ℒ/ℒ⊙) > 2.5 | 0.000 | 0.000 | 0.000 | 0.000 | 0.569 |
| 49.73 | −37.11 | 18.11 | −20.37 | ||
| Gal, log(ℒ/ℒ⊙) > 3.0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.602 |
| 79.08 | −68.56 | 31.23 | −36.22 | ||
| Gal, log(ℒ/ℒ⊙) < 3.0 | 0.310 | 0.244 | 0.899 | 0.322 | 0.001 |
| −5.52 | 9.78 | −0.97 | 4.30 | ||
| Gal, log(ℒ/ℒ⊙) < 2.5 | 0.568 | 0.524 | 0.263 | 0.477 | 0.002 |
| 7.30 | −11.98 | 18.78 | −6.97 | ||
| LMC, all log(ℒ/ℒ⊙) | 0.002 | 0.001 | 0.000 | 0.000 | 0.420 |
| 20.67 | −21.48 | 28.72 | −12.75 | ||
Notes. The quantities log(ℒ/ℒ⊙), Teff, and log g were used as predictors and observed macroturbulent velocities as the dependent variable. The rows correspond to different subsets of the data separated by a range of spectroscopic luminosities and by metallicity. P > |t| and ci values for each predictor are given in every cell as top and bottom numbers, respectively. The adjusted R2 are given in the last column.
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