2.8. Statistical Analysis

The data matrix was evaluated using descriptive statistics to determine measures of central tendency, dispersion, normality assumptions, and homoscedasticity. Subsequently, the experimental groups were subjected to a one-way ANOVA, and, then, they were compared using Tukey’s post-hoc test to determine differences among the means. All of the variables were analyzed to test their relationship with testosterone concentration using the generalized linear model (GLM). Finally, the Pearson’s correlation test was carried out to determine the degree of association between the variables. All analyses were performed using R-Studio software [25].