Assessment and estimation of water quality using multi-linear regression

Abstract

All living things require water in order to survive. Water that is drinkable for people should be safe and avoid of dangerous microorganisms. Therefore, water that has been purified should be made available to the general public before it can be utilized for human consumption. To ensure that the parameters are within allowable bounds, specific standards in the water must be investigated. Prior to use, the ground water must be evaluated and cleaned. The statistical method known as multiple linear regression makes use of two or more independent variables to forecast the value of a dependent variable. With the use of this method, we can ascertain the model’s variation as well as the proportionate contributions of each independent variable to the overall variance. The assessment of water quality can be done by conducting the pH, turbidity, conductivity, acidity, alkalinity, chloride, iron, total solids, dissolved oxygen tests. Multiple samples are collected from various locations for accuracy of the test results. The aim of the study is to assess the water quality parameters through laboratory experiments and to relate the water parameters to water quality index using the multilinear regression.