Sentence examples for model terms was from inspiring English sources

The statistical significance of the model terms was studied using ANOVA.

The results revealed that the p value of the model terms was significant, i.e., p < 0.05.

Therefore, the significance of the model terms was assessed via backwards selection using likelihood ratio tests (Zuur et al. [2009]).

The significance of the model equation and model terms was evaluated by F test (Jadhav et al. 2013).

Note that the global model (all predictors and first-order interactions) possessed the lowest AIC by 300 points, but with 240 model terms, was far less interpretable than the AIC next-best model with network size, network topology, recombination rate, average additive variance, and interactions as predictors.

The statistical significance of the model equation and the model terms was evaluated via Fisher's test.

Model terms were evaluated by the P value.

P value less than 0.05 indicates model terms are significant.

Values >0.1000 indicate the model terms are not significant.

Values of "Prob > F" <0.0500 indicate model terms are significant.

The values of "prob > F" <0.05 indicate model terms are significant, where values >0.1 indicate the model terms are not significant.