Associate Professor, Department of Mathematics, NAS College, Meerut, Uttar Pradesh, 250003, India
*Corresponding Author: Gaurav Kumar, Associate Professor, Department of Mathematics, NAS College, Meerut, Uttar Pradesh, 250003, India, E-mail: gauravkgv@gmail.com
Online published on 18 December, 2018.
Time series analysis can be used to quantitatively explain and predict air pollutants. This technique offers the possibility of formulating policy to tackle problem of air pollution. This paper intends to develop time series model for air pollutant Particulate Matter (PM10) for Sector-1 industrial area of Noida city in National Capital Region (NCR) of India using multiple linear regression.
Multiple Linear Regression, PM10, Time Series
