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The models proposed here demonstrate a perfect correlation among variables and responses.
The coefficients of correlation among variables have been tabulated in Table 2.
Positive values in the table show positive correlation among variables while negative values show negative correlation.
Application of neural networks will be useful if it gives a suggestion of the correlation among variables in the future.
In addition, the value for Bartlett's test showed significance (p < .000) indicating high correlation among variables for factor analysis.
Experimental data (inputs) and results for retention factors from experiments (outputs) were used to train the ANN with aim to define correlation among variables.
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The principal component analysis (PCA) method maintains as many variables as possible, theoretically relevant and has the advantage of avoiding the negative influence of high inter-correlation among variables [17].
The descriptive statistics and correlations among variables are presented in Table 2.
Table 2 shows correlations among variables used in linear regression analyses.
Means, standard deviations, and correlations among variables are depicted in Table 1.
Internal consistency of hunger-coping scales, one-way ANOVAs, post-hoc analyses, Spearman's correlations among variables.
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