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F values and p values show that at 95% confidence level (p < 0.05), all of predicted models based on experimental data were significant and lack of fits were not significant.
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The lack-of-fit was not significant (p > 0.05).
Meanwhile the lack-of-fit the P values of 0.0027 indicated that the lack of fit was significant.
The lack-of-fit F-value of 0.7274 and 0.88 of ellagic acid and myricetin contents respectively reflects that the lack-of-fit was not significant.
The "lack-of-fit F-value" of 2.54 implied that the lack-of-fit was not significant relative to the pure error.
The kinetic models in this study were tested using a statistical lack-of-fit test.
The data fitting revealed R2 > 0.929, and no lack-of-fit could be verified (P > 0.05).
The lack-of-fit term of 0.9589 was not significant relative to the pure error.
The GCV criterion is estimated as the lack-of-fit criterion (Hastie and Tibshirani 2001).
Although the model exhibits highly significant factor effects, Lack-of-fit is also highly significant.
F-values for lack-of-fit were 3.43 and 3.88 for rutin and quercetin, respectively.
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CEO of Professional Science Editing for Scientists @ prosciediting.com