| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -4.638 | 15.635 | -0.297 | 0.769 | X | 6.499 | 3.226 | 2.015 | 0.052 |
| - - - | ||||
| Residual Std. Err. | 48.801 on 32 df | |||
| Multiple R-sq. | 0.113 | |||
| Adjusted R-sq. | 0.085 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| X | 1 | 9666.838 | 9666.838 | 4.059 | 0.052 |
| Residuals | 32 | 76208.132 | 2381.504 | ||
