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The model adequacy was very satisfactory as the coefficient of determination was 0.94.
Diagnostics of model adequacy was performed by predicted versus actual, normal % probability and internally studentized residuals.
Good first- and second-order model adequacy was found for pesticide calibration.
The model adequacy was experimentally validated in triplicate at optimized levels of factors (Bagewadi et al. 2016a).
The model adequacy was also verified through additional bleaching experiment within the fixed parameters ranges, and was discussed.
The model adequacy was tested by contrasting a simulated sample against an independent sample of real animals.
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The model adequacy is verified by the confirmation tests.
The determination of model adequacy is made on the basis of goodness of fit statistics; however, several models all with different parameter values may pass these statistical tests.
Quantitative assessments of model adequacy are displayed in Table 9.
Standard diagnostic checks of model adequacy were performed on all final models.
The model adequacy is summarized by p-values that indicate whether the model is an accurate reflection of the data.
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