| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 165.55 | 7.741 | 21.387 | 0 | X | 1.842 | 0.097 | 18.984 | 0 |
| - - - | ||||
| Residual Std. Err. | 34.651 on 358 df | |||
| Multiple R-sq. | 0.502 | |||
| Adjusted R-sq. | 0.5 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Colombia | 1 | 432728.838 | 432728.838 | 360.407 | 0 |
| Residuals | 358 | 429839.422 | 1200.669 | ||
