Research Article
Developing Machine Learning Techniques to Investigate the Impact of Air Quality Indices on Tadawul Exchange Index
Table 5
Coefficients of the linear regression.
| | | Unstandardized Coefficients | Standardized coefficients | | | Collinearity Statistics | Model | B | std. error | Beta | t | Sig. | tolerance | VIF |
| 1 | (Constant) | −4244019 | 189,007 | | −22.45 | 0.00 | | | PM10 | −30.87 | 9.62 | −0.23 | −3.21 | 0.00 | 0.20 | 4.96 | O3 | 9.05 | 7.17 | 0.07 | 1.26 | 0.21 | 0.36 | 2.74 | NO2 | 43.42 | 18.82 | 0.09 | 2.31 | 0.02 | 0.62 | 1.61 | SO2 | −62.05 | 52.78 | −0.04 | −1.18 | 0.24 | 0.79 | 1.27 | CO | 68.20 | 12.57 | 0.24 | 5.42 | 0.00 | 0.55 | 1.81 | AQI | 21.38 | 12.23 | 0.15 | 1.75 | 0.08 | 0.15 | 6.65 | Month | 211.95 | 19.29 | 0.45 | 10.99 | 0.00 | 0.62 | 1.62 | Day | 11.09 | 5.37 | 0.07 | 2.06 | 0.04 | 0.95 | 1.05 | Year | 2103.86 | 93.49 | 1.13 | 22.50 | 0.00 | 0.41 | 2.43 |
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