| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 0.202789 | 0.202789 |
| Residual | 5.000000 | 0.000411 | 0.000082 |
| Total | 6.000000 | 0.203200 | 0.033867 |
| F-TEST | 2465.934500 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.048001 |
| Von Neumann Ratio | 1.222667 |
| rho - Least Squares | 0.300889 |
| rho - Maximum Likelihood | 0.335716 |
| rho - Serial Correlation | 0.284196 |
| rho - Goldberger | 0.317826 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 18.857143 |
| Biased Variance X | 4.494592 |
| Biased S.E. X | 2.120045 |
| Mean Y | 3.280000 |
| Biased Variance Y | 0.029029 |
| Biased S.E. Y | 0.170378 |
| Mean F | 3.280000 |
| Biased Variance F | 0.028970 |
| Biased S.E. F | 0.170205 |
| Mean e | 0.000000 |
| Biased Variance e | 0.000059 |
| Biased S.E. e | 0.003428 |