| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 452.482519 | 452.482519 |
| Residual | 42.000000 | 7136.494754 | 169.916542 |
| Total | 43.000000 | 7588.977273 | 176.487844 |
| F-TEST | 2.662969 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.035989 |
| Von Neumann Ratio | 0.036826 |
| rho - Least Squares | 0.966260 |
| rho - Maximum Likelihood | 0.995589 |
| rho - Serial Correlation | 0.935886 |
| rho - Goldberger | 0.980815 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 428.613636 |
| Biased Variance X | 285913.009814 |
| Biased S.E. X | 534.708341 |
| Mean Y | 22.977273 |
| Biased Variance Y | 172.476756 |
| Biased S.E. Y | 13.133041 |
| Mean F | 22.977273 |
| Biased Variance F | 10.283694 |
| Biased S.E. F | 3.206820 |
| Mean e | 0.000000 |
| Biased Variance e | 162.193063 |
| Biased S.E. e | 1.965131 |