APPLICATION OF REGRESSION MODEL ON STREAM WATER QUALITY PARAMETERS

Statistical analysis was conducted to evaluate the effect of solid waste leachate from the open solid waste dumping site of salhad on the stream water quality. five sites were selected along the stream. two sites were selected prior to mixing of leachate with the surface water. one was of leachate and other two sites were affected with leachate. samples were analyzed for ph, water temperature, electrical conductivity (ec), total dissolved solids (tds), biological oxygen demand (bod), chemical oxygen demand (cod), dissolved oxygen (do) and total bacterial load (tbl). in this study correlation coefficient r among different water quality parameters of various sites were calculated by using pearson model and then average of each correlation between two parameters were also calculated, which shows tds & ec and ph & bod have significantly increasing r value, while temperature & tds, temp & ec, do & bl, do & cod have decreasing r value. single factor anova at 5% level of significance was used which shows ec, tds, tcl and cod were significantly differ among various sites. by the application of these two statistical approaches tds and ec shows strongly positive correlation because the ions from the dissolved solids in water influence the ability of that water to conduct an electrical current. these two parameters significantly vary among 5 sites which are further confirmed by using linear regression.