Sentence examples for model terms values from inspiring English sources

In a mixture design, model terms values are hardly analysable directly since factors are not independent (their sum is constant).

Further, the positive value of the model term indicates the effect that favors the optimization process while the negative model term value represents the inverse interaction between the parameters with the response.

The model terms with value of Prob > F less than 0.05 are considered as significant.

Regression study and ANOVA with a p < 0.05 indicate the significance of the model terms, and p values > 0.1 indicates the insignificant model terms.

Partial response functions, generated by holding all model terms at average values, apart from the variable shown, are illustrated in Figure 5.

P values less than 0.05 indicate that the model terms are significant, whereas values greater than 0.1 are not significant.

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

p value: Value used to determine significance of model terms against a predetermined value: α.

Model terms are significant for values of p less than 0.05.

The model terms with default parameter values are outlined in Table  1.

The P values <0.0500 indicate that the model terms are significant, whereas the values >0.1000 are not significant.