eng Science and Education Publishing Applied Ecology and Environmental Sciences 2328-3920 2022-12-12 10 12 717 722 10.12691/aees-10-12-3 AEES202210123 article A. Loganathan loganathan@msuniv.ac.in 1 P. Sumithra 1 V. Deneshkumar 1 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India Air quality index is a numerical measure, which is computed to determine the air quality for various geographical locations. Human activities, industry functioning and climate conditions are some of the significant factors causing variations in the air quality index. Many methods are proposed in the literature and are applied to develop models for investigating the changing behaviour of the air quality index. Among them, regression model is a statistical tool, possessing established properties, recommended frequently for static data. This paper considers estimation of a multiple linear regression model based on the information pertaining to air quality index recorded in a monitoring station located in Chennai, India. Significance of the model to the data is detailed and residual analysis is carried out for testing validity of the fitted model. http://pubs.sciepub.com/aees/10/12/3/aees-10-12-3.pdf regression analysis air quality index