Regression and multivariate models for predicting particulate matter concentration level.

The devastating health effects of particulate matter (PM) exposure by susceptible populace has made it necessary to evaluate PM pollution. Meteorological parameters and seasonal variation increases PM concentration levels, especially in areas that have multiple anthropogenic activities. Hence, stepwise regression (SR), multiple linear regression (MLR) and principal component regression (PCR) analyses were used to analyse daily average PM concentration levels.