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 |