Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 99.005 | 6.466 | 15.311 | 0 | X | -0.94 | 0.12 | -7.818 | 0 |
- - - | ||||
Residual Std. Err. | 13.479 on 86 df | |||
Multiple R-sq. | 0.415 | |||
Adjusted R-sq. | 0.409 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
Add | 1 | 11105.981 | 11105.981 | 61.124 | 0 |
Residuals | 86 | 15625.916 | 181.697 |