| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 2141.859796 | 2141.859796 |
| Residual | 59.000000 | 4561.537582 | 77.314196 |
| Total | 60.000000 | 6703.397377 | 111.723290 |
| F-TEST | 27.703318 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.465483 |
| Von Neumann Ratio | 1.489908 |
| rho - Least Squares | 0.241249 |
| rho - Maximum Likelihood | 0.253896 |
| rho - Serial Correlation | 0.244901 |
| rho - Goldberger | 0.247492 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 100.908197 |
| Biased Variance X | 64.230916 |
| Biased S.E. X | 8.014419 |
| Mean Y | 86.893443 |
| Biased Variance Y | 109.891760 |
| Biased S.E. Y | 10.482927 |
| Mean F | 86.893443 |
| Biased Variance F | 35.112456 |
| Biased S.E. F | 5.925576 |
| Mean e | 0.000000 |
| Biased Variance e | 74.779305 |
| Biased S.E. e | 1.125809 |