| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 78.354668 | 78.354668 |
| Residual | 61.000000 | 769.073903 | 12.607769 |
| Total | 62.000000 | 847.428571 | 13.668203 |
| F-TEST | 6.214793 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 2.458597 |
| Von Neumann Ratio | 2.498252 |
| rho - Least Squares | -0.231831 |
| rho - Maximum Likelihood | -0.231836 |
| rho - Serial Correlation | -0.235088 |
| rho - Goldberger | -0.231833 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 27.928571 |
| Biased Variance X | 38.726803 |
| Biased S.E. X | 6.223086 |
| Mean Y | 11.571429 |
| Biased Variance Y | 13.451247 |
| Biased S.E. Y | 3.667594 |
| Mean F | 11.571429 |
| Biased Variance F | 1.243725 |
| Biased S.E. F | 1.115224 |
| Mean e | 0.000000 |
| Biased Variance e | 12.207522 |
| Biased S.E. e | 0.447351 |