| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 0.011130 | 0.011130 |
| Residual | 16.000000 | 0.347184 | 0.021699 |
| Total | 17.000000 | 0.358315 | 0.021077 |
| F-TEST | 0.512942 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.552358 |
| Von Neumann Ratio | 0.584850 |
| rho - Least Squares | 0.678535 |
| rho - Maximum Likelihood | 0.739124 |
| rho - Serial Correlation | 0.707437 |
| rho - Goldberger | 0.708182 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 2.654667 |
| Biased Variance X | 0.001232 |
| Biased S.E. X | 0.035098 |
| Mean Y | 0.619500 |
| Biased Variance Y | 0.019906 |
| Biased S.E. Y | 0.141090 |
| Mean F | 0.619500 |
| Biased Variance F | 0.000618 |
| Biased S.E. F | 0.024867 |
| Mean e | 0.000000 |
| Biased Variance e | 0.019288 |
| Biased S.E. e | 0.034720 |