Examples of using These two variables in English and their translations into Portuguese
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Colloquial
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Official
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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
These two variables were negatively correlated.
However, it is not yet known how these two variables relate to each other.
These two variables were not significant in univariate analysis.
Table 4 presents Spearman's correlation coefficients between these two variables.
These two variables explained 42% r2a= 0.42 of this scale's score variability.
Despite the statistical significance, these two variables were weakly correlated.
We found absolutely no correlation,no impact whatsoever, between these two variables.
Once these two variables were accounted for, none of the others were related to survival.
Studies using nasendoscopy andvideofluoroscopy also showed correlation between these two variables.
The correlation between these two variables was statistically significant and equal to a CI of 0.95.
Previous studies have consistently reported a statistically significant association between these two variables.
When these two variables are unset, the build analyzer is automatically disabled.
Porto Alegre: Artmed; 2006., however,in this study there was no significant association between these two variables.
Therefore, these two variables could be the explanation for the difference in CRP between the two groups.
Thus, groups that walk shorter distances in the 6MWT probably do not show an association between these two variables.
These two variables were not influential in the prognosis of patients with regard to discharge or death.
It was also possible to evaluate if these two variables interact, that is, if they are dependent on each other.
These two variables have been identified as the main determinants of performing cesarean sections in Brazil.
For example, there are two lists of data, andnow I will calculate the correlation coefficient between these two variables.
In other words, only these two variables had predictive value for recurrence in those circumstances.
More recent studies have included measures of inequality in growth regressions to understand the long-term relationship between these two variables.
However, when we correlated these two variables for IDCM patients, we observed a significant correlation.
The differences between CG and CP are related to body acceleration, and the shorter the sway frequencies of the body,the shorter will be the differences between these two variables.
For these two variables, combined use was observed as favorable, indicating evidence of criterion validity.
We suspected that there was a significant positive correlation between these two variables, indicating higher severity of the underlying disease.
When these two variables were associated, their negative effect on the median breastfeeding duration was potentiated.
For a better understanding of the relationship between these two variables, the analysis was divided into periods and geographical regions.
So, these two variables are intrinsically connected because they correspond to the individual perception of their health.
Only one brazilian study has evaluated the relationship between these two variables regarding patients with dementia and not psychiatric patients.
These two variables influence the long-term results, including higher risk of mortality among patients submitted to PCI.