*2.4. Data Analysis*

The statistical analysis was performed with the R software, version 4.0.3 [32]. The analysis of qualitative (i.e., non-numeric) variables was performed by calculating the number and percentage of occurrences of each value. The analysis of quantitative variables (i.e., expressed in number) was performed by calculating the mean, standard deviation, median, and quartiles. The multivariate analysis of the influence of many variables on the quantitative variable was performed using the linear regression method. The results are presented as the values of the regression model parameters with a 95% confidence interval. A significance level of 0.05 was adopted in the analysis. Thus, all p values below 0.05 were interpreted as showing significant relationships.
