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The accuracy of the established RSM model was statistically validated.
The model was statistically tested and verified by experimentation.
The results showed that the model was statistically robust.
Obtained results showed that our generated model was statistically reliable.
It is found that the model was statistically significant.
The model was statistically validated and used for prediction in the experimental range.
The regression model was statistically significant since the coefficient of determination (R2) was 0.9352.
Firstly, a stress-development prediction model was statistically developed based on massive stress data recorded in time series.
The resulting response surface model was statistically significant (p < 0.5) and predicted maximum EPS production of 628 mg/L.
In addition, the generated RSM model was statistically significant and adequate to predict the results with minimum error of <4%.
The obtained linear model was statistically tested using analysis of variance (ANOVA) and the analysis of residuals was used to investigate the model validity.
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