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The calculated values and their corresponding linear regression correlation coefficient values are listed in Table 5.
The best fit equilibrium model was determined based on the linear regression correlation coefficient R2.
The calculated values and their corresponding linear regression correlation coefficient values are shown in Table 3.
At all initial metal concentrations, the linear regression correlation coefficient R 2 values were higher.
The linear regression correlation coefficient values show that this model cannot be applied to predict the adsorption kinetic model.
The linear regression correlation coefficients (R2) were 0.9993 for the ND5 assay and 0.9989 for the cytb assay.
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Linear regression correlations and a multiple linear regression model were performed to quantify the relationship between the composition of oils and fats and their oxidative stability.
17− 19 Trend line-based linear regression correlations were used to study the correlation between the radioactive and fluorescent signal intensities.
Considering that age of pregnant women will have a bearing on FPG, we made multiple linear regression correlations using age and pregnancy week as independent variables and FPG as the dependent variable.
Correlation analyses were performed by nonparametric correlation (Spearman) and linear-regression correlation.
Linear regression and correlation analysis were made using Pearson's correlation coefficient (WINKS SDA Software, Cedar Hill, USA).
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