Table A.2
Estimated coefficients for the linear model in Eq. (1) of BTO luminosity (dex), for different Z values.
| Estimate | Std. error | Impact | Importance | |
| (dex) | (dex) | (dex) | ||
|
|
||||
| Z = 0.0001 | ||||
| β 0 | 1.1455 | 0.0026 | ||
| β1 (pp) | 0.0581 | 0.0020 | 0.0017 | 0.086 |
| β2 (14N) | –0.0338 | 0.0006 | –0.0034 | 0.167 |
| β3 (kr) | –0.4050 | 0.0012 | –0.0202 | 1.000 |
| β4 (vd) | –0.0160 | 0.0004 | –0.0024 | 0.119 |
|
|
||||
| Z = 0.0005 | ||||
| β 0 | 0.9593 | 0.0027 | ||
| β1 (pp) | 0.0730 | 0.0021 | 0.0022 | 0.128 |
| β2 (14N) | –0.0312 | 0.0006 | –0.0031 | 0.183 |
| β3 (kr) | –0.3411 | 0.0012 | –0.0171 | 1.000 |
| β4 (vd) | –0.0124 | 0.0004 | –0.0019 | 0.109 |
|
|
||||
| Z = 0.001 | ||||
| β 0 | 0.8775 | 0.0026 | ||
| β1 (pp) | 0.0735 | 0.0020 | 0.0022 | 0.137 |
| β2 (14N) | –0.0315 | 0.0006 | –0.0032 | 0.195 |
| β3 (kr) | –0.3229 | 0.0012 | –0.0161 | 1.000 |
| β4 (vd) | –0.0124 | 0.0004 | –0.0019 | 0.115 |
|
|
||||
| Z = 0.006 | ||||
| β 0 | 0.6031 | 0.0028 | ||
| β1 (pp) | 0.0650 | 0.0021 | 0.0020 | 0.141 |
| β2 (14N) | –0.0278 | 0.0006 | –0.0028 | 0.202 |
| β3 (kr) | –0.2760 | 0.0012 | –0.0138 | 1.000 |
| β4 (vd) | –0.0098 | 0.0004 | –0.0015 | 0.106 |
|
|
||||
| Z = 0.01 | ||||
| β 0 | 0.5144 | 0.0030 | ||
| β1 (pp) | 0.0620 | 0.0023 | 0.0019 | 0.136 |
| β2 (14N) | –0.0250 | 0.0007 | –0.0025 | 0.183 |
| β3 (kr) | –0.2737 | 0.0014 | –0.0137 | 1.000 |
| β4 (vd) | –0.0074 | 0.0005 | –0.0011 | 0.081 |
|
|
||||
| Z = 0.02 | ||||
| β 0 | 0.3715 | 0.0025 | ||
| β1 (pp) | 0.0571 | 0.0019 | 0.0017 | 0.138 |
| β2 (14N) | –0.0248 | 0.0006 | –0.0025 | 0.200 |
| β3 (kr) | –0.2484 | 0.0011 | –0.0124 | 1.000 |
| β4 (vd) | –0.0044 | 0.0004 | –0.0007 | 0.053 |
Notes.In the first two columns: least-squares estimates of the regression coefficients and their errors; third column: physical impact of the variation Δpi of the various inputs; last column: relative importance of the impact with respect to the most important one.
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