| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -307.913 | 157.445 | -1.956 | 0.053 | X | 865.911 | 55.462 | 15.613 | 0 |
| - - - | ||||
| Residual Std. Err. | 997.535 on 117 df | |||
| Multiple R-sq. | 0.676 | |||
| Adjusted R-sq. | 0.673 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Hours | 1 | 242558000.755 | 242558000.755 | 243.758 | 0 |
| Residuals | 117 | 116423955.816 | 995076.545 | ||
