Study on Waste Management Using Regression Analysis in Karnataka, India

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Mahalakshmi, Naveen N., M. Rajeshwari, Noor Jahan, R. Murugesan

Abstract

The waste-process and its intricacy management has obtained high attention in recent years all over the globe and also it causes chain-linked serious environmental and geographical problems. The potential of Multi Linear Regression (MLR)-model helps in prediction of waste-management, the data is differentiated into Waste Disposed in Tonnes (WDT), Waste Recycled Tonne (WRT), Waste Generated Tonne (WGT). These includes overall recycling rate every-year. The article mainly focuses on graphical representation of waste-management and future-prediction of waste-management. This model helps to state the difference between actual-values and predicted-values which gives us a best confirmation. This model can be applicable for each and every waste of state & predict the future-management of wastes. With the help of this model the total waste system can be easily segregated for-future-use.

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