| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 64004.184650 | 64004.184650 |
| Residual | 358.000000 | 63576.816140 | 177.588872 |
| Total | 359.000000 | 127581.000790 | 355.378832 |
| F-TEST | 360.406505 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.191943 |
| Von Neumann Ratio | 0.192478 |
| rho - Least Squares | 0.902996 |
| rho - Maximum Likelihood | 0.903297 |
| rho - Serial Correlation | 0.897418 |
| rho - Goldberger | 0.903147 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 308.350833 |
| Biased Variance X | 2396.022944 |
| Biased S.E. X | 48.949187 |
| Mean Y | 77.538167 |
| Biased Variance Y | 354.391669 |
| Biased S.E. Y | 18.825293 |
| Mean F | 77.538167 |
| Biased Variance F | 177.789402 |
| Biased S.E. F | 13.333769 |
| Mean e | 0.000000 |
| Biased Variance e | 176.602267 |
| Biased S.E. e | 0.702355 |