Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 314.438 | 38.203 | 8.231 | 0 | X | 0.008 | 0 | 33.579 | 0 |
- - - | ||||
Residual Std. Err. | 332.189 on 287 df | |||
Multiple R-sq. | 0.797 | |||
Adjusted R-sq. | 0.796 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
time | 1 | 124421365.882 | 124421365.882 | 1127.522 | 0 |
Residuals | 287 | 31670266.132 | 110349.359 |