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Analysis of variance (ANOVA) was used to estimate the significance of the models.
Also, the significance of the models was tested using the analysis of variance (ANOVA).
Analysis of variance was also carried out to check the significance of the models.
The usability and significance of the models strongly depends on their accuracy, availability and functional extent.
The coefficient of correlation was worked out to understand the relationship between the various parameters and to test the significance of the models.
The probability (p value) was relatively low in all the model responses (<0.0001), which was less than 0.05, indicating the significance of the models.
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LR ratio tests the overall significance of the model.
This resignifies the significance of the model [9].
The significance of the model parameters was discussed.
ANOVA was performed to find the significance of the model.
Finally, the statistical significance of the model was proved.
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