| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 3.71711e+6 | 3.71711e+6 |
| Residual | 137.000000 | 2.59220e+6 | 18921.175082 |
| Total | 138.000000 | 6.30931e+6 | 45719.636430 |
| F-TEST | 196.452325 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 2.172046 |
| Von Neumann Ratio | 2.187786 |
| rho - Least Squares | -0.102217 |
| rho - Maximum Likelihood | -0.105528 |
| rho - Serial Correlation | -0.102910 |
| rho - Goldberger | -0.103859 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 844.503597 |
| Biased Variance X | 12936.868692 |
| Biased S.E. X | 113.740356 |
| Mean Y | 1309.151079 |
| Biased Variance Y | 45390.718182 |
| Biased S.E. Y | 213.050976 |
| Mean F | 1309.151079 |
| Biased Variance F | 26741.790224 |
| Biased S.E. F | 163.529172 |
| Mean e | 0.000000 |
| Biased Variance e | 18648.927958 |
| Biased S.E. e | 11.667200 |