| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 3991.678 | 1192.769 | 3.347 | 0.001 | X | 2240.288 | 420.166 | 5.332 | 0 |
| - - - | ||||
| Residual Std. Err. | 7557.097 on 117 df | |||
| Multiple R-sq. | 0.195 | |||
| Adjusted R-sq. | 0.189 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Hours | 1 | 1623590313.94 | 1623590313.94 | 28.429 | 0 |
| Residuals | 117 | 6681836345.993 | 57109712.359 | ||
