Table III

Ordinal logistic regression model for wine consumer satisfaction

PredictorsEstimation95% CISEp
Constant 14.4932.863–6.1240.832<0.001
Constant 26.9765.295–8.6570.858<0.001
Constant 39.1697.391–10.9480.907<0.001
Constant 411.1279.248–13.0070.959<0.001
Gender (M)0.7040.310–1.0980.201<0.001
Age0.010−0.009–0.0290.0100.290
Educational status0.220−0.050–0.4890.1380.111
Income−0.007−0.147–0.1330.0710.927
Brand0.6410.381–0.9000.132<0.001
Price choice0.3100.069–0.5520.1230.012
Production place0.3110.055–0.5660.1310.017
Wine vintage0.3580.120–0.5960.1210.003
Certification0.3790.124–0.6330.1300.004
Additives0.089−0.114–0.2920.1040.390

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

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