Exact(57)
R-squared value of 0.9176 implied that the ultimate model for the IUCPC D50 consistently fits the experimental results.
R-squared value is a statistical measure of the linearity of the curve fit and used to quantify the fit to the power line.
Models revealed 95% significance of confidence level with difference less than 0.2 between Pred R-Squared value of 0.9515 and Adj R-Squared.
The R-squared value measures the percent of variability (total sum of squares) in the dependent variable that could be explained by the independent variables.
The adjusted R-squared value of 0.9509 showed that the regression model fit the data well.
The predicted R-squared value (0.9168) also indicated that the prediction of experimental data was satisfactory.
Reasonable agreement existed between the predicted R-squared value (0.9565) and adjusted R-squared value (0.9824) with similar observation for the experimental and model values over the entire factor space.
However, the empirical correlation of this research highly matched laboratory data with an R-squared value of 0.94.
Similar(3)
The R squared value (R2) for the graphs was 0.9461.
However, the quadratic model fits well because it has a larger R squared value compared to other models.
The R squared value demonstrates that the variables used account for a large portion of overall variance in organization scores.
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