| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 112.964684 | 112.964684 |
| Residual | 154.000000 | 1223.721213 | 7.946242 |
| Total | 155.000000 | 1336.685897 | 8.623780 |
| F-TEST | 14.216115 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 2.163846 |
| Von Neumann Ratio | 2.177806 |
| rho - Least Squares | -0.082299 |
| rho - Maximum Likelihood | -0.082361 |
| rho - Serial Correlation | -0.082830 |
| rho - Goldberger | -0.082330 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 5.012821 |
| Biased Variance X | 9.628041 |
| Biased S.E. X | 3.102908 |
| Mean Y | 12.044872 |
| Biased Variance Y | 8.568499 |
| Biased S.E. Y | 2.927200 |
| Mean F | 12.044872 |
| Biased Variance F | 0.724133 |
| Biased S.E. F | 0.850960 |
| Mean e | 0.000000 |
| Biased Variance e | 7.844367 |
| Biased S.E. e | 0.225693 |