Examples of using The regression model in English and their translations into Portuguese
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Colloquial
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Housing*sewer to integrate the regression model.
The regression model was developed in four stages.
All variables were included in the regression model.
The regression model explained 6.5% of variance in this domain.
These variables were not included in the regression model.
People also translate
For the regression model were inserted only variables with p.
But in the last adjustment of the regression model, it was excluded.
The regression model initially included all independent variables of the study.
So you will see that the regression model is really just the equation.
This parameter is assigned to the error of the regression model, so that.
The regression model used was the GAM and its extension, the GAM-PCA.
BMI and waist circumference variables were mutually adjusted in the regression model.
The regression model met the assumptions of error normality z 1.525 and Prob.
It is also worth emphasizing that the BSQ scores were controlled in the regression model.
Pubertal stage, gender, andWC were defined as independent variables in the regression model.
In the regression model, all covariates were treated dichotomously, as described in Table 1.
According to the results of the regression model, there was no association between risk of fall and the variable sex.
However, those differences did not change the association when included to the regression model.
Other factors that we studied in relation to our patients did not show any influence on the regression model used.
The regression model for self-rated health status added a dimension with happiness as the only predictor.
Trend tests were estimated by including the LTPA into the regression model as a continuous variable.
However, although non-adherent older women reported more difficult,this does not justify the lack of adhesion on the regression model.
In the regression model, the inverse association was confirmed, i.e. the older the age, the lower the diet's energy density.
It were selected for integrate the regression model all variables associated with the dependent variable, for a significance level of 5% p.
Thus, all the variables associated with the body attitudes of the subjects were included in the regression model.