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The models adequacy was examined through ANOVA (analysis of variance) results for the surface responses.
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The model adequacy was very satisfactory as the coefficient of determination was 0.94.
Good first- and second-order model adequacy was found for pesticide calibration.
Diagnostics of model adequacy was performed by predicted versus actual, normal % probability and internally studentized residuals.
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.
This method was efficient; only 20 experiments were necessary to assess these conditions and model adequacy was very satisfactory, as the coefficient of determination was 0.9560.
This method was efficient; only 28 experiments were necessary to assess these conditions, and model adequacy was very satisfactory, as coefficient of determination was 0.9558.
Model adequacy was checked by means of tests such as analysis of variance (ANOVA), a lack of fit test, and residuals distribution consideration.
The model adequacy was guaranteed by the assessment of statistical parameters such as coefficient of determination (R2 = 0.903), adjusted R2 (0.877) and adequate precision (19.23).
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CEO of Professional Science Editing for Scientists @ prosciediting.com