Can we interpret the coefficients of an ordinal regression in the coefficients table without involving the intercepts? For example library(ordinal) > head(wine) response rating temp contact bottle judge 1 36 2 cold no 1 1 2 48 3 cold no 2 1 3 47 3 cold yes 3 1 4 67 4 cold yes 4 1 5 77 4 warm no 5 1 6 60 4 warm no 6 1 fm |z|) tempwarm 2.3212 0.7009 3.311 0.000928 *** contactyes 1.3475 0.6604 2.041 0.041300 * tempwarm:contactyes 0.3595 0.9238 0.389 0.697129 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Threshold coefficients: Estimate Std. Error z value 1|2 -1.4113 0.5454 -2.588 2|3 1.1436 0.5097 2.244 3|4 3.3771 0.6382 5.292 4|5 4.9420 0.7509 6.581 What does the contactyes coefficient mean on its own? EDIT: Here are the plots for the probabilities per rating level

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