| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 1677.580793 | 1677.580793 |
| Residual | 46.000000 | 9440.509207 | 205.228461 |
| Total | 47.000000 | 11118.090000 | 236.555106 |
| F-TEST | 8.174211 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.216492 |
| Von Neumann Ratio | 0.221098 |
| rho - Least Squares | 0.892895 |
| rho - Maximum Likelihood | 0.881146 |
| rho - Serial Correlation | 0.867600 |
| rho - Goldberger | 0.887001 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 1.179040e+6 |
| Biased Variance X | 2.362842e+11 |
| Biased S.E. X | 486090.716850 |
| Mean Y | 68.675000 |
| Biased Variance Y | 231.626875 |
| Biased S.E. Y | 15.219293 |
| Mean F | 68.675000 |
| Biased Variance F | 34.949600 |
| Biased S.E. F | 5.911819 |
| Mean e | 0.000000 |
| Biased Variance e | 196.677275 |
| Biased S.E. e | 2.067751 |