| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 94027.372104 | 94027.372104 |
| Residual | 78.000000 | 378.911771 | 4.857843 |
| Total | 79.000000 | 94406.283875 | 1195.016252 |
| F-TEST | 19355.785684 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.194630 |
| Von Neumann Ratio | 0.197094 |
| rho - Least Squares | 0.913204 |
| rho - Maximum Likelihood | 0.889952 |
| rho - Serial Correlation | 0.901201 |
| rho - Goldberger | 0.901503 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 122.191250 |
| Biased Variance X | 2287.330298 |
| Biased S.E. X | 47.826042 |
| Mean Y | 115.591250 |
| Biased Variance Y | 1180.078548 |
| Biased S.E. Y | 34.352271 |
| Mean F | 115.591250 |
| Biased Variance F | 1175.342151 |
| Biased S.E. F | 34.283263 |
| Mean e | 0.000000 |
| Biased Variance e | 4.736397 |
| Biased S.E. e | 0.246420 |