Air pollution can lead to exposure to foreign particles, air that can be inhaled deep into the lungs and cardiovascular system, causing diseases such as stroke, heart disease, lung cancer, chronic obstructive pulmonary diseases, and respiratory infections. The Pearson's product moment correlation coefficient (r) was used to determine the strength of association between a pair of variables, to test the relationship between these variables and to test whether the association is greater than could be expected by chance. The linear regression between respiratory disease patients, PM10, and other air pollutants were used in this study. Among PM10 together with CO, O3, and NOx was statistically significant with P-value of <0.01 (r = .031, .307, .561; 95% CI = -.570-1.437, .275-.445, and .223-.289 respectively).
Keywords: Air pollutants; Data analysis; PM10; Respiratory disease.