Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 36.989 | 2.241 | 16.505 | 0 | X | 0.442 | 0.145 | 3.038 | 0.005 |
- - - | ||||
Residual Std. Err. | 11.849 on 28 df | |||
Multiple R-sq. | 0.248 | |||
Adjusted R-sq. | 0.221 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
RAD | 1 | 1296.095 | 1296.095 | 9.231 | 0.005 |
Residuals | 28 | 3931.271 | 140.403 |