International Journal of Mathematical, Engineering, Biological and Applied Computing
Article
The Application of Machine Learning in the Corona Era, With an Emphasis on Economic Concepts and Sustainable Development Goals
Table 23
Dependent Variable: TARGET | | | Method: Least Squares (Gauss-Newton / Marquardt steps) | Date: 05/06/22 Time: 08:26 | | | Sample: 1 537 | | | | Included observations: 537 | | | TARGET=C (1) +C (2) *NEW_DEATHS | | | | | | | | | | | | | | Coefficient | Std. Error | t-Statistic | Prob. | | | | | | | | | | | C (1) | 3.957745 | 1.936313 | 2.043960 | 0.0414 | C (2) | 0.982797 | 0.009191 | 106.9325 | 0.0000 | | | | | | | | | | | 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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