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Predicted models were found to be significant with high regression coefficients (91 97%).
The high regression coefficients values obtained showed a strong correlation between antioxidant capacity and total polyphenol content [31].
According to the analysis of variances (ANOVA), three quadratic models with high regression coefficient (R2) were obtained.
The experimental data were well described by the pseudo first order kinetic model with high regression coefficient (R2 = 0.9373).
Moreover, the mathematical relationships developed in this study show a high regression values (R2) between properties and biodiesel diesel blends.
Very high regression coefficient (R2 = 0.9689) indicates excellent evaluation of experimental data by second-order polynomial regression model.
In both cases, however, the high regression coefficients are overridden by their statistical insignificance as shown by the error bars (Fig. 2a, b).
Hence, relationship between rainfall and forest cover resulted high regression coefficient which prevails increase in forest cover in post-monsoon season.
A high regression coefficient between the variables and response (r 2 = 0.9974) corroborate eminent evaluation of experimental data by second-order polynomial regression model.
Similarly, Regression analysis between rainfall and forest cover shows a high regression coefficient value of 0.8417 (Fig. 7b) and exhibited a significant relationship.
Langmuir isotherm model appears to be a fairly good model for the adsorption of FA onto SB-AC due to its high regression coefficient (R 2 = 0.822).
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