Table III Ordinal logistic regression... | Emerald Publishing

Table III

Ordinal logistic regression model for wine consumer satisfaction

Predictors	Estimation	95% CI	SE	p
Constant 1	4.493	2.863–6.124	0.832	<0.001
Constant 2	6.976	5.295–8.657	0.858	<0.001
Constant 3	9.169	7.391–10.948	0.907	<0.001
Constant 4	11.127	9.248–13.007	0.959	<0.001
Gender (M)	0.704	0.310–1.098	0.201	<0.001
Age	0.010	−0.009–0.029	0.010	0.290
Educational status	0.220	−0.050–0.489	0.138	0.111
Income	−0.007	−0.147–0.133	0.071	0.927
Brand	0.641	0.381–0.900	0.132	<0.001
Price choice	0.310	0.069–0.552	0.123	0.012
Production place	0.311	0.055–0.566	0.131	0.017
Wine vintage	0.358	0.120–0.596	0.121	0.003
Certification	0.379	0.124–0.633	0.130	0.004
Additives	0.089	−0.114–0.292	0.104	0.390

Predictors	Estimation	95% CI	SE	p
Constant 1	4.493	2.863–6.124	0.832	<0.001
Constant 2	6.976	5.295–8.657	0.858	<0.001
Constant 3	9.169	7.391–10.948	0.907	<0.001
Constant 4	11.127	9.248–13.007	0.959	<0.001
Gender (M)	0.704	0.310–1.098	0.201	<0.001
Age	0.010	−0.009–0.029	0.010	0.290
Educational status	0.220	−0.050–0.489	0.138	0.111
Income	−0.007	−0.147–0.133	0.071	0.927
Brand	0.641	0.381–0.900	0.132	<0.001
Price choice	0.310	0.069–0.552	0.123	0.012
Production place	0.311	0.055–0.566	0.131	0.017
Wine vintage	0.358	0.120–0.596	0.121	0.003
Certification	0.379	0.124–0.633	0.130	0.004
Additives	0.089	−0.114–0.292	0.104	0.390

Notes: Log-Likelihood = 875.584; full model p-value<0.001; deviance test: p = 0.978; pseudo R²: Cox Snell = 0.407; Nagelkarke = 0.431; Mc Fadden = 0.172