| 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 | ||
