Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 37.214 | 2.049 | 18.166 | 0 | X | 0.465 | 0.128 | 3.627 | 0.001 |
- - - | ||||
Residual Std. Err. | 11.219 on 32 df | |||
Multiple R-sq. | 0.291 | |||
Adjusted R-sq. | 0.269 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
RAD | 1 | 1656.118 | 1656.118 | 13.157 | 0.001 |
Residuals | 32 | 4028 | 125.875 |