| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 499.208 | 6.977 | 71.55 | 0 | X | 100.126 | 2.435 | 41.117 | 0 |
| - - - | ||||
| Residual Std. Err. | 35.147 on 98 df | |||
| Multiple R-sq. | 0.945 | |||
| Adjusted R-sq. | 0.945 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| mest | 1 | 2088392.476 | 2088392.476 | 1690.574 | 0 |
| Residuals | 98 | 121060.949 | 1235.316 | ||
