Table 5 OLS regression results of average dietary supply adequacy and COVID-19
From: Food insecurity and outcomes during COVID-19 pandemic in sub-Saharan Africa (SSA)
Dep. variable | log average dietary energy supply adequacy | R-squared | 0.718 |
Model | OLS | Adj. R-squared | 0.249 |
Method | Least squares | F-statistic | 1.530 |
Date | Mon, 11 Jul 2022 | Prob (F-statistic) | 0.386 |
Time | 23:12:48 | Log-likelihood | 12.074 |
No. observations | 9 | AIC | − 12.15 |
Df residuals | 3 | BIC | − 10.96 |
Df model | 5 | ||
Covariance type | Nonrobust |
coef | std err | t | P >|t| | [0.025 0.975] | ||
const | 8.4801 | 3.420 | 2.479 | 0.089 | − 2.405 | 19.365 |
log confirmed | − 0.0794 | 0.097 | − 0.819 | 0.473 | − 0.388 | 0.229 |
log GDP_pc | 0.1625 | 0.185 | 0.880 | 0.444 | − 0.425 | 0.750 |
log trade | − 0.4556 | 0.347 | − 1.314 | 0.280 | − 1.559 | 0.648 |
log population | − 0.1068 | 0.087 | − 1.234 | 0.305 | − 0.382 | 0.169 |
log cereal_yield | 0.0119 | 0.172 | 0.070 | 0.949 | − 0.535 | 0.559 |