| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 76758.503762 | 76758.503762 |
| Residual | 78.000000 | 17647.780113 | 226.253591 |
| Total | 79.000000 | 94406.283875 | 1195.016252 |
| F-TEST | 339.258720 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.253603 |
| Von Neumann Ratio | 0.256813 |
| rho - Least Squares | 0.856863 |
| rho - Maximum Likelihood | 0.885671 |
| rho - Serial Correlation | 0.867219 |
| rho - Goldberger | 0.871148 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 96.585000 |
| Biased Variance X | 76.381275 |
| Biased S.E. X | 8.739638 |
| Mean Y | 115.591250 |
| Biased Variance Y | 1180.078548 |
| Biased S.E. Y | 34.352271 |
| Mean F | 115.591250 |
| Biased Variance F | 959.481297 |
| Biased S.E. F | 30.975495 |
| Mean e | 0.000000 |
| Biased Variance e | 220.597251 |
| Biased S.E. e | 1.681716 |