| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 293.221152 | 293.221152 |
| Residual | 139.000000 | 103.755621 | 0.746443 |
| Total | 140.000000 | 396.976773 | 2.835548 |
| F-TEST | 392.824404 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.885450 |
| Von Neumann Ratio | 1.898917 |
| rho - Least Squares | 0.030515 |
| rho - Maximum Likelihood | 0.028872 |
| rho - Serial Correlation | 0.029033 |
| rho - Goldberger | 0.029682 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 69.390982 |
| Biased Variance X | 160.942564 |
| Biased S.E. X | 12.686314 |
| Mean Y | 3.016748 |
| Biased Variance Y | 2.815438 |
| Biased S.E. Y | 1.677927 |
| Mean F | 3.016748 |
| Biased Variance F | 2.079583 |
| Biased S.E. F | 1.442076 |
| Mean e | 0.000000 |
| Biased Variance e | 0.735855 |
| Biased S.E. e | 0.072759 |