| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 3.17560e+6 | 3.17560e+6 |
| Residual | 190.000000 | 1.28444e+7 | 67602.254904 |
| Total | 191.000000 | 1.60200e+7 | 83874.507172 |
| F-TEST | 46.974801 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.709925 |
| Von Neumann Ratio | 0.713642 |
| rho - Least Squares | 0.647233 |
| rho - Maximum Likelihood | 0.637467 |
| rho - Serial Correlation | 0.640757 |
| rho - Goldberger | 0.642331 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 0.119792 |
| Biased Variance X | 0.105442 |
| Biased S.E. X | 0.324718 |
| Mean Y | 1670.307292 |
| Biased Variance Y | 83437.660780 |
| Biased S.E. Y | 288.855779 |
| Mean F | 1670.307292 |
| Biased Variance F | 16539.596032 |
| Biased S.E. F | 128.606361 |
| Mean e | 0.000000 |
| Biased Variance e | 66898.064748 |
| Biased S.E. e | 18.764197 |