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The model was highly correlated with the sampling analysis data.
The mathematical model was highly significant when compared to a null model (p < 0.0001).
Table 5 showed that the quadratic model was highly significant (p<0.01).
The adjusted determination coefficient R2 = 0.9487 or 94.87% also showed that the model was highly significant.
Experimental values were in good agreement with the predicated ones and the model was highly significant.
The analysis of variance (ANOVA) of the quadratic model demonstrates that the model was highly significant.
The discriminant function model was highly significant (P <.0001); 92% of the patients were correctly classified.
Furthermore, the probability (p) of the regression model (0.000) confirmed that the model was highly significant for the response variable.
ANOVA of the second-order regression model demonstrated that the model was highly significant with a P value of 0.001.
The accuracy of the model was highly significant and accounted for 69%% of the variability in bark volume.
The overall model was highly significant (P<0.0001) as were the two variables included in the model (P<0.0001).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com