Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -39.04 | 22.457 | -1.738 | 0.091 | X | 13.172 | 4.693 | 2.807 | 0.008 |
- - - | ||||
Residual Std. Err. | 75.391 on 33 df | |||
Multiple R-sq. | 0.193 | |||
Adjusted R-sq. | 0.168 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
X | 1 | 44774.012 | 44774.012 | 7.878 | 0.008 |
Residuals | 33 | 187564.274 | 5683.766 |