| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 1639.723799 | 1639.723799 |
| Residual | 78.000000 | 2845.065076 | 36.475193 |
| Total | 79.000000 | 4484.788875 | 56.769479 |
| F-TEST | 44.954492 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.183452 |
| Von Neumann Ratio | 1.198432 |
| rho - Least Squares | 0.404499 |
| rho - Maximum Likelihood | 0.399785 |
| rho - Serial Correlation | 0.403032 |
| rho - Goldberger | 0.402135 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 111.143750 |
| Biased Variance X | 99.957711 |
| Biased S.E. X | 9.997885 |
| Mean Y | 102.016250 |
| Biased Variance Y | 56.059861 |
| Biased S.E. Y | 7.487313 |
| Mean F | 102.016250 |
| Biased Variance F | 20.496547 |
| Biased S.E. F | 4.527311 |
| Mean e | 0.000000 |
| Biased Variance e | 35.563313 |
| Biased S.E. e | 0.675233 |