Application of linear regression anal. is very much significant to construct the predictive model using the present groundwater quality data from which, helps to predict the futuristic quality of groundwater of particular area. Here, 1026 groundwater samples of 272 villages were collected and analyzed for 14 parameters for physico-chem. and biol. quality of groundwater. Karl-Pearson Correlation coeffs., r, were used and attempts were made to develop the linear regression equations (y = Ax + B) for significantly correlated parameters. The results of the linear model emphasizes a pos. and significant correlation among the water quality parameters
