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The overall result is not very satisfactory since the variance explained by the first two components makes up only 29%% of the total.7 The analysis of the correlation results shows that the images are not all very close to the circle, indicating that certain points were not perfectly represented by the plane.
Satisfactory homogeneity of variances was determined with Bartlett's test.
For the first measurement point, the variance was satisfactory and reached an acceptable level at the second measurement point with a value of 1.26.
The overall agreement between the measured and the computed variance is satisfactory and the extended CMC model is applied to Sandia Flames D, E, and F. Excellent predictions of temperature, major species, intermediates, and NO are obtained in Flames D and E while temperature predictions can be significantly improved in Sandia Flame F.
This system of equations does not have a satisfactory solution because a variance cannot be negative.
Principal components with varimax rotation revealed a satisfactory percentage of total variance explained by the four factors.
The factor analysis revealed a satisfactory percentage of total variance explained by the one factor at 27.4%.
The factor analysis revealed a satisfactory percentage of total variance explained by the one factor at 48.9%.
Principal components with varimax rotation revealed a satisfactory percentage of Total Variance explained (61.6%) by the two factors.
Principal components analysis with Varimax Rotation revealed a satisfactory percentage of Total Variance explained by the two factors 27.4% and 13.4%, respectively (Table 4), as well as a corresponding Component Matrix (Table 5).
The model was generated with the conditions proposed in this study due to the determination coefficient of 99.9%, variance (R2), and satisfactory response surfaces, thus obtaining optimization of the process according to the needs and applicability in the ceramic industry of pigments.
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