| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 4.19772e+6 | 4.19772e+6 |
| Residual | 167.000000 | 7.76914e+6 | 46521.802832 |
| Total | 168.000000 | 1.19669e+7 | 71231.318822 |
| F-TEST | 90.231251 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.646271 |
| Von Neumann Ratio | 0.650118 |
| rho - Least Squares | 0.675663 |
| rho - Maximum Likelihood | 0.676177 |
| rho - Serial Correlation | 0.677961 |
| rho - Goldberger | 0.675920 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 0.000000 |
| Biased Variance X | 23097.401694 |
| Biased S.E. X | 151.978293 |
| Mean Y | 1717.751479 |
| Biased Variance Y | 70809.831729 |
| Biased S.E. Y | 266.101168 |
| Mean F | 1717.751479 |
| Biased Variance F | 24838.582777 |
| Biased S.E. F | 157.602610 |
| Mean e | 0.000000 |
| Biased Variance e | 45971.248952 |
| Biased S.E. e | 16.591472 |