Groundwater quality is complex function of its allied and constituents parameters. Such parameters are variedin nature according to the prevailing geohydrology, topography, geological features, natural establishments,water bodies like rivers, ocean and their reactions to groundwater etc. Detailed study of such groundwaterquality needs the analytical results of temporal monitoring of such parameters, however the need of precision inresults varies according the scope of research but it is quite obvious to know the tentative temporal picture ofsuch groundwater quality parameters and it is very tedious, time consuming and cumbersome task to collect theall groundwater quality parameters for all locations in all seasons and for the long period, therefore in suchregard statistics has given an essential tool of regression model to co-relate the groundwater quality parametersunder the consideration. Such model or statistical relationship include to focus on Independent and dependentparameters and such methodology allows to measure a single parameter (Independent parameter) on the fieldduring monitoring and concentration of remaining parameters can be obtained by the feeding the independentvariable’s concentration in developed regression relationship, however it is quite possible to variate the fieldand modeled concentration but the results can be accepted on the base of co-efficient of co-relation amongparameters. An attempt is made here for developing the statistical relationship among the groundwaterparameters under study considerations (pH, TDS, Hardness, Chlorides, Electrical Conductivity) where TDS istaken as independent variable and various relationships have been developed on the base of TDSKeywords: TDS, Correlation, Chlorides, Hardness, Regression
