| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 74639.915679 | 74639.915679 |
| Residual | 78.000000 | 19766.368196 | 253.414977 |
| Total | 79.000000 | 94406.283875 | 1195.016252 |
| F-TEST | 294.536324 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.300416 |
| Von Neumann Ratio | 0.304218 |
| rho - Least Squares | 0.800091 |
| rho - Maximum Likelihood | 0.884265 |
| rho - Serial Correlation | 0.799015 |
| rho - Goldberger | 0.841125 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 109.475000 |
| Biased Variance X | 23.446625 |
| Biased S.E. X | 4.842172 |
| Mean Y | 115.591250 |
| Biased Variance Y | 1180.078548 |
| Biased S.E. Y | 34.352271 |
| Mean F | 115.591250 |
| Biased Variance F | 932.998946 |
| Biased S.E. F | 30.545031 |
| Mean e | 0.000000 |
| Biased Variance e | 247.079602 |
| Biased S.E. e | 1.779800 |