Drinking water is essential for human beings and due to this, the companies that supply this resource must maintain control over the physicochemical and microbiological characteristics after a purification process. The results of the physicochemical and microbiological analyzes for the case of Colombia, are compared with the maximum permissible limits established in resolution 2115 of 2007, which additionally with the calculation of the drinking water quality risk index (IRCA) allows to establish a criterion of quality of the treated water. This work intends to determine, through statistical tools, the influence of the parameters analyzed in drinking water and its correlation with the IRCA; having as main purpose, to know the dynamics of these variables. According to the descriptive statistical analysis, it was found that for the three municipalities the chlorine residual and pH parameters showed a low coefficient of variation (<10%) and hardness, in Bucaramanga and Floridablanca, while the parameters color, heterotrophic count, aluminum and iron had a high coefficient of variation (>30%). On the other hand, in the linear regression model, the variables chlorides, sulphates, aluminum hardness and alkalinity had a positive correlation for the three municipalities with a correlation coefficient between 0.50 and 0.90. The principal component analysis significantly reduced the dimensionality of the parameters evaluated in the study, indicating that turbidity is the major correlation parameter of the IRCA. The model failed to determine significantly the quality of the treated water. The goodness of fit only explained 48% (Bucaramanga) and 52% (Floridablanca and Girón) with respect to the calculation of the IRCA, which requires implementing or completing the model with other types of data analysis techniques to determine a greater relationship with IRCA and its purpose.