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 |