| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 3155.609207 | 3155.609207 |
| Residual | 52.000000 | 15598.085608 | 299.963185 |
| Total | 53.000000 | 18753.694815 | 353.843298 |
| F-TEST | 10.519988 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.821514 |
| Von Neumann Ratio | 1.855883 |
| rho - Least Squares | 0.087518 |
| rho - Maximum Likelihood | 0.087775 |
| rho - Serial Correlation | 0.089144 |
| rho - Goldberger | 0.087646 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 10.412963 |
| Biased Variance X | 21.718165 |
| Biased S.E. X | 4.660275 |
| Mean Y | 19.851852 |
| Biased Variance Y | 347.290645 |
| Biased S.E. Y | 18.635736 |
| Mean F | 19.851852 |
| Biased Variance F | 58.437208 |
| Biased S.E. F | 7.644423 |
| Mean e | 0.000000 |
| Biased Variance e | 288.853437 |
| Biased S.E. e | 2.356878 |