| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -6.457 | 4.48 | -1.441 | 0.15 | X | 0.272 | 0.014 | 18.984 | 0 |
| - - - | ||||
| Residual Std. Err. | 13.326 on 358 df | |||
| Multiple R-sq. | 0.502 | |||
| Adjusted R-sq. | 0.5 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| USA | 1 | 64004.185 | 64004.185 | 360.407 | 0 |
| Residuals | 358 | 63576.816 | 177.589 | ||
