Study on Waste Management Using Regression Analysis in Karnataka, India

Authors

  • Mahalakshmi Department of Mathematics, School of Applied Sciences, REVA University, Bengaluru, Karnataka, India.
  • Naveen N. Department of Mathematics, School of Applied Sciences, REVA University, Bengaluru, Karnataka, India.
  • M. Rajeshwari Department of Mathematics, Presidency University, Bengaluru, Karnataka, India.

DOI:

https://doi.org/10.9734/bpi/acst/v8/6857C

Keywords:

Disposal, recycling, waste management, discriptive analysis, visualization, multiple linear regression

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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Published

2023-11-02

How to Cite

Mahalakshmi, Naveen N., & M. Rajeshwari. (2023). Study on Waste Management Using Regression Analysis in Karnataka, India. Advances and Challenges in Science and Technology Vol. 8, 165–180. https://doi.org/10.9734/bpi/acst/v8/6857C

Issue

Advances and Challenges in Science and Technology Vol. 8

Section

Chapters