Table II

Binary logistic regression model for wine consumption propensity

PredictorsCoeffExp (B)95% CIp
Constant−0.8770.4160.246
Gender (M)0.6371.8921.122–3.1890.017
Age0.0011.0010.978–1.0250.918
Educational status0.3901.4771.050–2.0780.025
Income0.1351.1450.956–1.3710.142

Notes: Log-Likelihood = 405.187; full model p-value<0.001; Hosmer–Lemeshow = 8.955; p = 0.346; pseudo R2: Cox Snell = 0.320; Nagelkarke = 0.520

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