| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 0.104958 | 0.104958 |
| Residual | 48.000000 | 113.535042 | 2.365313 |
| Total | 49.000000 | 113.640000 | 2.319184 |
| F-TEST | 0.044374 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 2.268263 |
| Von Neumann Ratio | 2.314554 |
| rho - Least Squares | -0.179522 |
| rho - Maximum Likelihood | -0.167535 |
| rho - Serial Correlation | -0.170951 |
| rho - Goldberger | -0.173425 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 6.534600 |
| Biased Variance X | 7.925513 |
| Biased S.E. X | 2.815229 |
| Mean Y | 6.060000 |
| Biased Variance Y | 2.272800 |
| Biased S.E. Y | 1.507581 |
| Mean F | 6.060000 |
| Biased Variance F | 0.002099 |
| Biased S.E. F | 0.045817 |
| Mean e | 0.000000 |
| Biased Variance e | 2.270701 |
| Biased S.E. e | 0.217500 |