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Pearson correlation coefficient tested the association of two continuous variables.
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Correlate variables were evaluated using Spearman's rank correlation coefficient test.
Proximal and soil relationships were assessed in terms of significance using Pearson correlation coefficient testing and stepwise backwards linear regression.
The results were evaluated for statistical intergroup differences using the Wilks' Lambda multivariate analysis of variance and for correlation using the Pearson correlation coefficient test.
Using a Pearson's correlation coefficient test, no significant correlation between CCS and OP was found.
Correlations between angular parameters and linear parameters were assessed using the Karl Pearson correlation coefficient test (Table 5).
The examiner's reliability was checked twice within a 2-week period and assessed by Pearson correlation coefficient test.
Thus, Pearson's correlation coefficient test was used so as to analyze the correlation between mandibular setback and PAS or position of hyoid bone.
Analysis of variance by Duncan's test and Pearson's product-moment correlation coefficient test were determined using SPSS version 10.0 software (SPSS Institute, Inc., Chicago, IL, USA).
Similarities between the profiles were evaluated with Pearson's correlation coefficient, and probability values (P) were calculated using the correlation coefficient test.
A Pearson's correlation coefficient test revealed a negative correlation (r = −.11; p<.05) between semantic distance and rightward bias following right parietal rTMS.
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