Application of Multiple Linear Regression and Manova to Evaluate Health Impacts Due to Changing River Water Quality

摘要: Rivers are important systems which provide water to fulfill human needs. However, excessive uses over the years have led to deterioration in quality of river causing, causing health problems from contaminated water. This study focuses on application of statistical techniques, Multiple Linear Regression model and MANOVA to assess health impacts due pollution Cauvery stretch in Srirangapatna. In this study, using Regression, it is found that impact level 60.8% dependent parameters BOD, COD, TDS, TC FC. The t-statistics and their associated 2-tailed p-values indicate that COD TDS produces compared BOD, FC, when effects put together across all six sampling stations Further Pearson correlation Matrix shows highly significant positive correlation amongst indicating possibility of common sources origin might be anthropogenic. Also graphs plotted for individual reveals values are stations, though values higher in impact causing impacts.