Table IV Ordinal logistic regression... | Emerald Publishing

Table IV

Ordinal logistic regression model for satisfaction of biological wine consumption

Predictors	Estimation	95% CI	SE	p
Constant 1	1.867	0.306–3.429	0.797	0.019
Constant 2	4.738	3.117–6.358	0.827	<0.001
Constant 3	6.684	4.988–8.379	0.865	<0.001
Constant 4	8.718	6.945–10.491	0.905	<0.001
Gender (M)	−0.352	−0.748–0.044	0.202	0.081
Age	−0.008	−0.027–0.011	0.010	0.417
Educational status	−0.144	−0.415–0.127	0.138	0.299
Income	0.130	0.010–0.258	0.066	0.042
Brand	0.045	−0.210–0.300	0.130	0.730
Price choice	0.060	−0.182–0.302	0.124	0.626
Production place	0.139	−0.118–0.397	0.131	0.289
Wine vintage	0.022	−0.215–0.260	0.121	0.855
Certification	0.427	0.170–0.684	0.131	0.001
Additives	1.414	1.163–1.665	0.128	<0.001

Predictors	Estimation	95% CI	SE	p
Constant 1	1.867	0.306–3.429	0.797	0.019
Constant 2	4.738	3.117–6.358	0.827	<0.001
Constant 3	6.684	4.988–8.379	0.865	<0.001
Constant 4	8.718	6.945–10.491	0.905	<0.001
Gender (M)	−0.352	−0.748–0.044	0.202	0.081
Age	−0.008	−0.027–0.011	0.010	0.417
Educational status	−0.144	−0.415–0.127	0.138	0.299
Income	0.130	0.010–0.258	0.066	0.042
Brand	0.045	−0.210–0.300	0.130	0.730
Price choice	0.060	−0.182–0.302	0.124	0.626
Production place	0.139	−0.118–0.397	0.131	0.289
Wine vintage	0.022	−0.215–0.260	0.121	0.855
Certification	0.427	0.170–0.684	0.131	0.001
Additives	1.414	1.163–1.665	0.128	<0.001

Notes: Log-Likelihood = 837.616; full model p-value<0.001; deviance test: p = 0.989; pseudo R²: Cox Snell = 0.545; Nagelkarke = 0.571; Mc Fadden = 0.256