Meteorological Parameters versus PM10: StatisticalAnalysis of the City of Skopje, Republic of NorthMacedonia Using Multiple Linear Regression

This scientific paper aims to analyze the multilinear regression between the meteorological parameters air temperature (T air ), relative humidity (RH), wind speed (WS), and precipitation (P) to statistically determine the impact on the concentration of PM 10 pollutant.Since the city of Skopje has the most polluted air in the region, particularly in winter, this scientific research focuses on exploring the correlations between the meteorological parameters and the air pollution from PM 10 .The results proved the moderate negative correlation (r = -0.76,p= 0.0001) between air temperature and PM 10 versus the moderate positive correlation (r = 0.42, p = 0.24) between relative humidity and PM 10 and the weak negative correlation between wind speed and PM 10 (r = -0.32,p = 0.06) and (r = -0.19,p = 0.001) for precipitation.The model was tested with a goodness-of-fit test and ANOVA, and it was proved that the model was adequate.It can be concluded that there can be different results in the correlation because of different climate, geographical position, topography, and socioeconomic factors in the region.