| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 14.818 | 0.863 | 17.167 | 0 | X | -1.062 | 0.891 | -1.192 | 0.235 |
| - - - | ||||
| Residual Std. Err. | 2.863 on 177 df | |||
| Multiple R-sq. | 0.008 | |||
| 95% CI Multiple R-sq. | [0, 0.037] | |||
| Adjusted R-sq. | 0.002 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| excelC | 1 | 11.649 | 11.649 | 1.421 | 0.235 |
| Residuals | 177 | 1450.63 | 8.196 | ||
