| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 0.034242 | 0.034242 |
| Residual | 2.000000 | 0.016433 | 0.008216 |
| Total | 3.000000 | 0.050675 | 0.016892 |
| F-TEST | 4.167522 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 3.253127 |
| Von Neumann Ratio | 4.337503 |
| rho - Least Squares | -0.810631 |
| rho - Maximum Likelihood | -0.699266 |
| rho - Serial Correlation | -0.930061 |
| rho - Goldberger | -0.752892 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 2.500000 |
| Biased Variance X | 1.250000 |
| Biased S.E. X | 1.118034 |
| Mean Y | 0.260402 |
| Biased Variance Y | 0.012669 |
| Biased S.E. Y | 0.112556 |
| Mean F | 0.260402 |
| Biased Variance F | 0.008561 |
| Biased S.E. F | 0.092523 |
| Mean e | 0.000000 |
| Biased Variance e | 0.004108 |
| Biased S.E. e | 0.045322 |