Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -45.239 | 23.202 | -1.95 | 0.061 | X | 13.955 | 4.736 | 2.947 | 0.006 |
- - - | ||||
Residual Std. Err. | 74.475 on 30 df | |||
Multiple R-sq. | 0.224 | |||
Adjusted R-sq. | 0.199 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
Weight | 1 | 48169.057 | 48169.057 | 8.684 | 0.006 |
Residuals | 30 | 166396.818 | 5546.561 |