| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 51.937550 | 51.937550 |
| Residual | 25.000000 | 3.432080 | 0.137283 |
| Total | 26.000000 | 55.369630 | 2.129601 |
| F-TEST | 378.324157 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.941554 |
| Von Neumann Ratio | 0.977768 |
| rho - Least Squares | 0.513812 |
| rho - Maximum Likelihood | 0.500874 |
| rho - Serial Correlation | 0.503291 |
| rho - Goldberger | 0.507301 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 12.259259 |
| Biased Variance X | 66.043896 |
| Biased S.E. X | 8.126740 |
| Mean Y | 3.796296 |
| Biased Variance Y | 2.050727 |
| Biased S.E. Y | 1.432036 |
| Mean F | 3.796296 |
| Biased Variance F | 1.923613 |
| Biased S.E. F | 1.386944 |
| Mean e | 0.000000 |
| Biased Variance e | 0.127114 |
| Biased S.E. e | 0.071306 |