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We used the Kruskal-Wallis test to analyze the variability of the continuous variables of the study.
These characteristics would be called the variables of the study, and data values for each of the variables would be associated with each individual.
In order to do this, one must define the variables of the study.
Table 4 provides descriptive statistics for the variables of the study.
The variables of the study are presented and described in Table 2.
The equation below shows the functional and econometric relationship between the variables of the study.
The first step of the analysis is the description of the variables of the study.
The factors were interpreted from estimated correlations with the same variables of the study.
Multiple regression analysis was used to establish the relationship between the variables of the study.
Some demographical and biochemical variables of the study and control groups are shown in Table 1.
A third topic ends the review, presenting the hypothesized relationships among the variables of the study.
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