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When applied to compounds with known, or unknown, degradation pathways, the R2 (Coefficient of Determination) values can be utilized to determine the reliability of the predicted stability parameters obtained by fitting experimental data to the theoretical model for non-isothermal stability.
Evaluation of responses by analysis of variance indicated high coefficient determination values.
Response surface models developed for the product properties have adequately described the process based on coefficient of determination values.
Mathematical models were developed with high coefficient determination values and the numerical optimization method was used for optimization.
From the experimental data, second order polynomial mathematical model were developed with high coefficient of determination values (R2 > 0.96).
The experimental data was fitted to a second order polynomial equation with high coefficient of determination values (R2 > 0.95).
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Analysis of variance (ANOVA) showed high coefficient of determination value (R2 = 0.9867 and adjusted-R2 = 0.9751).
Analysis of variance (ANOVA) showed a high coefficient of determination value (R2 = 0.95).
Analysis of variance (ANOVA) showed a high coefficient of determination value (R2 = 0.949).
Analysis of variance (ANOVA) shows a high coefficient of determination value.
Based on analysis of variance (ANOVA), the coefficient of determination value (R2 = 0.981) was high.
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