| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 0.422721 | 0.422721 |
| Residual | 3.000000 | 0.165279 | 0.055093 |
| Total | 4.000000 | 0.588000 | 0.147000 |
| F-TEST | 7.672843 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.379919 |
| Von Neumann Ratio | 1.724898 |
| rho - Least Squares | 0.180709 |
| rho - Maximum Likelihood | 0.113787 |
| rho - Serial Correlation | 0.139984 |
| rho - Goldberger | 0.143396 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 3.866800 |
| Biased Variance X | 0.001565 |
| Biased S.E. X | 0.039565 |
| Mean Y | 1997.620000 |
| Biased Variance Y | 0.117600 |
| Biased S.E. Y | 0.342929 |
| Mean F | 1997.620000 |
| Biased Variance F | 0.084544 |
| Biased S.E. F | 0.290765 |
| Mean e | 0.000000 |
| Biased Variance e | 0.033056 |
| Biased S.E. e | 0.104970 |