| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 1267.860966 | 1267.860966 |
| Residual | 78.000000 | 93138.422909 | 1194.082345 |
| Total | 79.000000 | 94406.283875 | 1195.016252 |
| F-TEST | 1.061787 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.011102 |
| Von Neumann Ratio | 0.011243 |
| rho - Least Squares | 1.012041 |
| rho - Maximum Likelihood | 0.977218 |
| rho - Serial Correlation | 0.984828 |
| rho - Goldberger | 0.994477 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 83.361250 |
| Biased Variance X | 100.957623 |
| Biased S.E. X | 10.047767 |
| Mean Y | 115.591250 |
| Biased Variance Y | 1180.078548 |
| Biased S.E. Y | 34.352271 |
| Mean F | 115.591250 |
| Biased Variance F | 15.848262 |
| Biased S.E. F | 3.980988 |
| Mean e | 0.000000 |
| Biased Variance e | 1164.230286 |
| Biased S.E. e | 3.863422 |