Examples of using Linear regression analysis in English and their translations into Portuguese
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the results of the simple linear regression analysis.
To evaluate the error of the three softwares method, a simple linear regression analysis was performed for each measure.
Errors when estimating the anthochron from linear regression analysis Figure 2 can lead to an underestimation
Subsequently, a multiple linear regression analysis was performed between richness
The multiple linear regression analysis showed an association with BMI,
The linear regression analysis showed an association between the atheromatous plaque components
A multivariate linear regression analysis was conducted on QOL-RA using the factors found to be significant in bivariate analyses as predictors.
Finally, the multiple forward linear regression analysis found how much study variables influence body dissatisfaction.
In addition, linear regression analysis was performed to test the conditions explaining the body fat variation,
A linear regression analysis model was used in which three of the psychosocial factors that helped to explain overall mental load were obtained.
Relating the water quality with fishery production data through multiple linear regression analysis, it was found significant values for dissolved oxygen parameters, total phosphorus positive relationshi.
Multiple linear regression analysis was applied to identify factors that were independently associated with GDF-15 levels.
Linear regression analysis showed that there was a univariate correlation between BMI
Linear regression analysis was used for numeric variables
A multiple linear regression analysis showed that the[Cl]plasma at admission and[SID]urine were independent predictors of the 24 hours variation in[Cl]plasma Table 3.
A multiple forward linear regression analysis was then carried out based on the associations shown,
Multiple linear regression analysis was performed to assess the association between smoking
Based on these outcomes, a multiple linear regression analysis was performed Table 4 with the stratification the variable vocal complaint as to its presence or absence.
Subsequently, on the basis of the Brazilian values, a linear regression analysis was performed between age independent variable
A linear regression analysis was carried out and a straight line equation was obtained, which allows the calculation of the expected LV weight for any rat with any weight.