| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 71229.082718 | 71229.082718 |
| Residual | 78.000000 | 23177.201157 | 297.143605 |
| Total | 79.000000 | 94406.283875 | 1195.016252 |
| F-TEST | 239.712656 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.207973 |
| Von Neumann Ratio | 0.210606 |
| rho - Least Squares | 0.896820 |
| rho - Maximum Likelihood | 0.894733 |
| rho - Serial Correlation | 0.905044 |
| rho - Goldberger | 0.895776 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 113.448750 |
| Biased Variance X | 356.603248 |
| Biased S.E. X | 18.883942 |
| Mean Y | 115.591250 |
| Biased Variance Y | 1180.078548 |
| Biased S.E. Y | 34.352271 |
| Mean F | 115.591250 |
| Biased Variance F | 890.363534 |
| Biased S.E. F | 29.838960 |
| Mean e | 0.000000 |
| Biased Variance e | 289.715014 |
| Biased S.E. e | 1.927251 |