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The Application of Machine Learning in the Corona Era, With an Emphasis on Economic Concepts and Sustainable Development Goals
Table 23. Equation estimation
| Dependent Variable: TARGET |
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| Method: Least Squares (Gauss-Newton / Marquardt steps) | ||||
| Date: 05/06/22 Time: 08:26 |
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| Sample: 1 537 |
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| Included observations: 537 |
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| TARGET=C (1) +C (2) *NEW_DEATHS |
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| Coefficient | Std. Error | t-Statistic | Prob. |
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| C (1) | 3.957745 | 1.936313 | 2.043960 | 0.0414 |
| C (2) | 0.982797 | 0.009191 | 106.9325 | 0.0000 |
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| R-squared | 0.955303 | Mean dependent var | 176.0205 | |
| Adjusted R-squared | 0.955220 | S.D. dependent var | 117.9522 | |
| S.E. of regression | 24.96026 | Akaike info criterion | 9.276164 | |
| Sum squared resid | 333312.8 | Schwarz criterion | 9.292127 | |
| Log likelihood | -2488.650 | Hannan-Quinn criter. | 9.282409 | |
| F-statistic | 11434.56 | Durbin-Watson stat | 2.471785 | |
| Prob(F-statistic) | 0.000000 |
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