The Analysis of Nanjing Air Quality by Using Multiple-Linear Regression Model

For the sake of industrial evolution, booming population, increased vehicles, and so forth, the air quality index (AQI) needs to be emphasized. This research paper takes Nanjing’s AQI as the survey background. This essay has deployed the multiple linear regression model to help analyze the basic circumstances of the AQI by using monthly data on six basic factors. The results show that the most significant factor of Nanjing’s AQI is the density of O3. What’s more, NO2 plays the role of the negative correlation and there exists a linear relationship between the variables. To improve or maintain the “generally good” circumstances of the AQI, it’s better to take measures like enlarging the vegetation, reducing the activities of incomplete incendiary, and increasing the usage of public transport... Additionally, this essay’s goal is to raise the awareness of the public and point out the mainly significant factors, that can offer evidence for the proceeding survey and measures.