| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 1647.635027 | 1647.635027 |
| Residual | 118.000000 | 2604.264627 | 22.070039 |
| Total | 119.000000 | 4251.899654 | 35.730249 |
| F-TEST | 74.654830 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.052106 |
| Von Neumann Ratio | 0.052544 |
| rho - Least Squares | 0.944065 |
| rho - Maximum Likelihood | 1.004002 |
| rho - Serial Correlation | 0.950795 |
| rho - Goldberger | 0.973572 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 1.219864 |
| Biased Variance X | 0.036713 |
| Biased S.E. X | 0.191607 |
| Mean Y | 15.198450 |
| Biased Variance Y | 35.432497 |
| Biased S.E. Y | 5.952520 |
| Mean F | 15.198450 |
| Biased Variance F | 13.730292 |
| Biased S.E. F | 3.705441 |
| Mean e | 0.000000 |
| Biased Variance e | 21.702205 |
| Biased S.E. e | 0.428855 |