Table 4: The bysector linear regression analysis.
Regression R see Fig.

$(B-V)_{{\rm syn}}=1.141\pm0.027 \times (B-V)_T -0.156\pm 0.017$ 0.86 3

$(B-R)_{{\rm syn}}=1.593\pm0.052 \times (B-V)_T -0.062\pm0.033$ 0.78 4

${\rm H_\alpha+[NII1]+[NII2]}=0.575\pm0.052 \times \log(L_V/L_\odot) -5.922\pm0.206$ 0.58 5

${\rm H_\alpha+[NII1]+[NII2]} (sp) =1.189\pm0.054 \times {\rm H_\alpha+[NII1]+[NII2]} (ph) -0.322\pm0.057$ 0.75 7

Mg $_2=0.095\pm0.009 \times \log(L_V/L_\odot)-0.701\pm0.043$ 0.71 14

${\rm NaD}=17.031\pm0.975\times {\rm Mg}_2-0.660\pm0.221$ 0.74 15

${\rm H}_\beta=-8.707\pm1.206 \times {\rm Mg}_2+4.045\pm0.218$ -0.54 16

G $_{4300}=20.365\pm2.406 \times {\rm Mg}_2+0.227\pm0.446$ 0.60 17

$\Delta_{4000}=2.266\pm0.206 \times {\rm Mg}_2+0.040\pm0.040$ 0.69 18

**Table 4:** The bysector linear regression analysis.
Regression	R	see Fig.
$(B-V)_{{\rm syn}}=1.141\pm0.027 \times (B-V)_T -0.156\pm 0.017$	0.86	3
$(B-R)_{{\rm syn}}=1.593\pm0.052 \times (B-V)_T -0.062\pm0.033$	0.78	4
${\rm H_\alpha+[NII1]+[NII2]}=0.575\pm0.052 \times \log(L_V/L_\odot) -5.922\pm0.206$	0.58	5
${\rm H_\alpha+[NII1]+[NII2]} (sp) =1.189\pm0.054 \times {\rm H_\alpha+[NII1]+[NII2]} (ph) -0.322\pm0.057$	0.75	7
Mg $_2=0.095\pm0.009 \times \log(L_V/L_\odot)-0.701\pm0.043$	0.71	14
${\rm NaD}=17.031\pm0.975\times {\rm Mg}_2-0.660\pm0.221$	0.74	15
${\rm H}_\beta=-8.707\pm1.206 \times {\rm Mg}_2+4.045\pm0.218$	-0.54	16
G $_{4300}=20.365\pm2.406 \times {\rm Mg}_2+0.227\pm0.446$	0.60	17
$\Delta_{4000}=2.266\pm0.206 \times {\rm Mg}_2+0.040\pm0.040$	0.69	18

Source LaTeX | All tables | In the text