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The results were tested by using the analysis of the variance (ANOVA).
Analysis of the variance has been conducted to investigate any correlations between the parameters.
The statistical significance of the studied process parameters was assessed by the analysis of the variance.
Multiple-way analysis of the variance (MANOVA) has been applied to find the statistically significant variables.
In the end, we include five variables that fulfill these requirements in the analysis of the variance of unobservables, while the other variables are excluded from the regressions.
An analysis of the variance inflation factors (VIF) showed that no predictor exceeded the recommended level of 10 (all VIF < 3.29), suggesting no confounding of multicollinearity.
Statistical differences over time in days with headache per month were analyzed using the univariate analysis of the variance (ANOVA) for repeated measures.
Following the analysis of the variance, we present the size and consistency of the differences in scores between the two assessment conditions.
To study the effect of three independent variables (x1, x2 and x3) on the characteristics of SO2 oxidation and entrapment efficiency, analysis of the variance (ANOVA) was performed.
We also assessed for non-response bias by conducting an analysis of the variance for differences between early and late responders.
But using the analysis of the variance table, it is understood that among the three factors, there is a pairwise significant difference.
More suggestions(15)
analysis of the differentiation
analysis of the variation
analysis of the disparity
analysis of the deviation
analysis of the deflection
assessment of the variance
analysis of the variability
analysis of the divergence
analysis of the variations
analysis of the deviations
analysis of the disparities
analyses of the variance
analysis of the differential
analysis of the variables
analysis of the gaps
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