Table 4 OLS regression results of per capita food supply variability and COVID-19
From: Food insecurity and outcomes during COVID-19 pandemic in sub-Saharan Africa (SSA)
Dep. variable | log per capita food supply variability | R-squared | 0.505 |
Model | OLS | Adj. R-squared | − 0.320 |
Method | Least squares | F-statistic | 0.6118 |
Date | Mon, 11 Jul 2022 | Prob (F-statistic) | 0.706 |
Time | 23:09:01 | Log-likelihood | − 2.0844 |
No. observations | 9 | AIC | 16.17 |
Df residuals | 3 | BIC | 17.35 |
Df model | 5 | ||
Covariance type | Nonrobust |
coef | std err | t | P >|t| | [0.025 0.975] | ||
const | 6.0605 | 16.492 | 0.367 | 0.738 | -46.425 | 58.546 |
log Confirmed | 0.6623 | 0.468 | 1.417 | 0.252 | -0.826 | 2.150 |
log GDP_pc | -1.1690 | 0.890 | -1.313 | 0.281 | -4.002 | 1.664 |
log Trade | 0.8305 | 1.672 | 0.497 | 0.653 | -4.490 | 6.151 |
log Population | 0.0797 | 0.417 | 0.191 | 0.861 | -1.248 | 1.408 |
log Cereal_Yield | -1.3510 | 0.829 | -1.630 | 0.202 | -3.988 | 1.286 |