Air pollution is a significant challenge for many developed and developing countries. In fact, the issue is even more severe in the economies that are developing the fastest, as well as in the areas that have seen the greatest rises in industrialization. Beyond its impact on climate change, air pollution also affects both public and individual health. This study employs regression and correlation analysis to analyze the linear relationship between the air quality index (AQI) and the annual average concentration of various types of air pollutants at the eight selected stations in Johor from 2017 until 2021. There are five types of air pollutants that were tested with AQI: sulphur dioxide (SO2), carbon monoxide (CO), ozone (O3), suspended particulate matter (PM10), and nitrogen dioxide (NO2). The result shows that the concentration of air pollutants such as SO2, O3, and PM10 have a linear relationship corresponding to the value of AQI. PM10 has the highest correlation coefficient with AQI compared to others, highlighting its strong influence on air quality. In short, there is a significant impact of SO2, O3, and PM10 to the AQI. Therefore, it is crucial to control emissions of these pollutants, as they play a substantial role in global warming and climate change.