Table IV

Ordinal logistic regression model for satisfaction of biological wine consumption

PredictorsEstimation95% CISEp
Constant 11.8670.306–3.4290.7970.019
Constant 24.7383.117–6.3580.827<0.001
Constant 36.6844.988–8.3790.865<0.001
Constant 48.7186.945–10.4910.905<0.001
Gender (M)−0.352−0.748–0.0440.2020.081
Age−0.008−0.027–0.0110.0100.417
Educational status−0.144−0.415–0.1270.1380.299
Income0.1300.010–0.2580.0660.042
Brand0.045−0.210–0.3000.1300.730
Price choice0.060−0.182–0.3020.1240.626
Production place0.139−0.118–0.3970.1310.289
Wine vintage0.022−0.215–0.2600.1210.855
Certification0.4270.170–0.6840.1310.001
Additives1.4141.163–1.6650.128<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

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