Research Article

Developing Machine Learning Techniques to Investigate the Impact of Air Quality Indices on Tadawul Exchange Index

Table 2

Correlation analysis.

PM10O3NO2SO2COAQIMonthDayYearTASI

PM10Corr.1.0000.152−0.2670.163−0.1760.8040.0260.1720.1600.043
Sig.0.0100.0000.0060.0040.0000.6600.0030.0060.466

O3Corr.0.1521.000−0.2270.1990.1940.5630.2240.005−0.2480.003
Sig.0.0100.0000.0010.0010.0000.0000.9330.0000.962

NO2Corr.−0.267−0.2271.000−.0660.335−0.2670.284−0.028−0.320−0.113
Sig.0.0000.0000.2650.0000.0000.0000.6330.0000.053

SO2Corr.0.1630.199−0.0661.000−0.1250.1650.0880.0480.2660.295
Sig.0.0060.0010.2650.0410.0050.1350.4170.0000.000

COCorr.−0.1760.1940.335−0.1251.0000.0020.054−0.035−0.585−0.327
Sig.0.0040.0010.0000.0410.9770.3700.5610.0000.000

AQICorr.0.8040.563−0.2670.1650.0021.0000.0850.158−0.057−0.013
Sig.0.0000.0000.0000.0050.9770.1400.0060.3250.823

MonthCorr.0.0260.2240.2840.0880.0540.0851.000−0.048−0.4220.060
Sig.0.6600.0000.0000.1350.3700.1400.4090.0000.298

DayCorr.0.1720.005−0.0280.048−0.0350.158−0.0481.0000.0270.039
Sig.0.0030.9330.6330.4170.5610.0060.4090.6390.501

YearCorr.0.160−0.248−0.3200.266−0.585−0.057−0.4220.0271.0000.693
Sig.0.0060.0000.0000.0000.0000.3250.0000.6390.000

TASICorr.0.0430.003−0.1130.295−0.327−0.0130.0600.0390.6931.000
Sig.0.4660.9620.0530.0000.0000.8230.2980.5010.000

Significant at the 0.01 level (two-tailed). Significant at the 0.05 level (two-tailed).