Sentence examples for verdict variable from inspiring English sources
The final model used the out-degree centrality and a constant to predict the verdict variable (see Table 4).
The final model used closeness and degree centrality variables to predict the verdict variable (see Table 2).
For this logistic regression the Wald statistic was applied in iterative steps to select the significant variables that discriminate the verdict, eliminating the non-significant variables (p ≥.05).
Whereas [1] only included local and distance measures as predictor variables, our results show that local variables function best for predicting the verdict while distance and network feedback variables do a better job of explaining sentence length.
A first logistic regression analysis was conducted to discriminate the verdict, using the Wald statistic to select the significant variables in terms of their prediction ability.
The first variable is dichotomous and indicates an innocent (coded 0) or guilty (coded 1) verdict (M = .13, SD = .33).33
