Examples of using Pearson's correlation coefficient in English and their translations into Portuguese
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Analysis of Pearson's correlation coefficient revealed a correlation between stress and coping at a 5% significance level.
Pearson's correlation coefficient was used to assess the association between numerical variables
The Pearson's correlation coefficient, ICC, and CV values reveal that the correlation between the two methods is weaker in the post-bronchodilator phase Table 1.
Table 2 shows the correlation Pearson's correlation coefficient between semantic association strength
Pearson's correlation coefficient was used in order to determine the correlations among the variables BHTmaxVEI,
Pearson's correlation coefficient was used to measure the correlation between measured
EI with age were calculated by Pearson's correlation coefficient and tested by the Student's t-test.
Pearson's correlation coefficient was calculated to assess the relationship between the EEs that were obtained using the HB equation and those that were obtained using IC.
In addition, Pearson's correlation coefficient between skin temperature
The Pearson's correlation coefficient showed that gender was statistically significant to predict hypothermia.
In our study, we use pearson's correlation coefficient to measure the similarity between rankings of nodes and links provided by different centralities for real and model based networks.
Pearson's correlation coefficient was used to evaluate costs
Pearson's correlation coefficient was used for assessing the association between respiratory pressures
In 2005 for instance, a Pearson's correlation coefficient of 0.99 p< 0.01 was observed
the result of the Pearson's correlation coefficient analysis showed statistical significance within the standards established for this study, p.
We used the SPSS 18.0 software to calculate Pearson's correlation coefficient, thus estimating sensitivity
Pearson's correlation coefficient was used to test for correlation between NAS scores
Pearson's correlation coefficient was used to establish a correlation between ABI values and the variables evaluated in the SWT.
Pearson's correlation coefficient was applied in order to correlate SNIP with the study variables.
Student's t-tests, Pearson's correlation coefficient, and multiple regression analysis were used as appropriate.