The water quality data was collected from the Department of Water and Sanitation (DWS), and for this paper, the 2008 to 2018 data for the Krokodilrivier was used. There are 17 water quality variables, which were analysed, and are grouped into physical and chemical parameters. The data was compared with some of the international drinking water quality standards, such as the one issued by the World Health Organisation (WHO), it was then found that the amount of some of these elements in the water such as Cl-1, EC, F - and K+1, makes water not fit for drink. Statistical techniques applied in this study, include descriptive stats, correlation analysis as well as regression statistical modelling. The process to observing relationships, implied that one variable causes changes in another variable. The results proved to be a useful mean for rapid monitoring of water quality with the help of systematic calculations of correlation coefficient between water parameters and regression analysis.
Keywords: Regression Analysis, Correlation Coefficient, Water Quality Parameters