| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 4.37419e+13 | 4.37419e+13 |
| Residual | 98.000000 | 2.55273e+13 | 2.60482e+11 |
| Total | 99.000000 | 6.92692e+13 | 6.99688e+11 |
| F-TEST | 167.926325 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.617620 |
| Von Neumann Ratio | 1.633959 |
| rho - Least Squares | 0.169272 |
| rho - Maximum Likelihood | 0.177032 |
| rho - Serial Correlation | 0.170982 |
| rho - Goldberger | 0.173109 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 12469.400000 |
| Biased Variance X | 4.73456e+8 |
| Biased S.E. X | 21759.054104 |
| Mean Y | 662394.590000 |
| Biased Variance Y | 6.92692e+11 |
| Biased S.E. Y | 832280.924141 |
| Mean F | 662394.590000 |
| Biased Variance F | 4.37419e+11 |
| Biased S.E. F | 661376.358469 |
| Mean e | 0.000000 |
| Biased Variance e | 2.55273e+11 |
| Biased S.E. e | 51037.486138 |