Multiple Regression Model

Particulate Matter (PM) 2.5 is the concentration of particulate matter in the air with a diameter of 2.5 or less and can come from outdoor sources such as vehicles, burning of fuels from wood or coal, as well as reactions in the atmosphere between gases and powerplants. Due to the small size of this particulate matter, it can pose adverse health effects; these particulates are small enough to enter the human body and into the lungs or bloodstream. The researchers developed a model that has the ability to predict PM 2.5 by using the variables of pollution burden score, ozone concentration, traffic density, diesel PM, and poverty. The researchers found that both the variables and multiple regression model were statistically significant and useful.