Examples of using Pearson correlation analysis in English and their translations into Portuguese
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Colloquial
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
They obtained 102 responses submitted to factor analysis statistical technique for grouping of variables factors and pearson correlation analysis for verificati.
Pearson correlation analysis of performance and variables such as age, level of education 1 to 8 grade and IQ did not reveal significant correlations.
The statistical treatment was done through a descriptive analysis, pearson correlation between variables and regression analysis between the variables with better correlation. .
Bonferroni's post hoc t-test. The Pearson correlation and analysis of sensitivity and specificity ROC curve were used to evaluate linearity.
The influence of the fruit weight with the tephritids¿s infestation was assessed by pearson linear correlation analysis.
For the correlation analysis, the Pearson or Spearman's correlation coefficient was used.
Results Initially, a bivariate Pearson correlation analysis was done to verify how national identity,
Pearson correlation analysis was used for the assessment of relation between variables.
The BW was divided into quartiles for Pearson correlation analysis.
The Pearson correlation analysis was applied between tests.
For the Pearson correlation analysis, the three groups were considered separately Table 2.
A Pearson correlation analysis was also made of total performance at PAT-OP
The Pearson correlation analysis confirmed a positive relationship between levels of COex
Pearson correlation analysis revealed a significant correlation of scores for the all four domains P.
The Pearson correlation analysis was also carried out aiming at detecting possible relationships between the variables analyzed in this study.
Pearson correlation analysis demonstrated that BMD of the adolescents tends to increase according to increase in body weight,
The Pearson correlation analysis was performed between all variables studied in the FMG
We calculated α cronbach index and performed pearson correlation analysis and factorial analysis with varimax rotation.
In the Pearson correlation analysis, the correlations between observable variables with values above 0.8 were not identified,
The Pearson correlation analysis indicated that there was no correlation between age