| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 9.989605 | 9.989605 |
| Residual | 3.000000 | 0.010395 | 0.003465 |
| Total | 4.000000 | 10.000000 | 2.500000 |
| F-TEST | 2883.000000 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.891996 |
| Von Neumann Ratio | 2.364995 |
| rho - Least Squares | -0.303156 |
| rho - Maximum Likelihood | -0.213926 |
| rho - Serial Correlation | -0.237136 |
| rho - Goldberger | -0.254662 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 426.400000 |
| Biased Variance X | 307.840000 |
| Biased S.E. X | 17.545370 |
| Mean Y | 42.000000 |
| Biased Variance Y | 2.000000 |
| Biased S.E. Y | 1.414214 |
| Mean F | 42.000000 |
| Biased Variance F | 1.997921 |
| Biased S.E. F | 1.413478 |
| Mean e | 0.000000 |
| Biased Variance e | 0.002079 |
| Biased S.E. e | 0.026325 |