| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 20315.025734 | 20315.025734 |
| Residual | 59.000000 | 170532.739840 | 2890.385421 |
| Total | 60.000000 | 190847.765574 | 3180.796093 |
| F-TEST | 7.028483 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 0.308347 |
| Von Neumann Ratio | 0.313486 |
| rho - Least Squares | 0.852521 |
| rho - Maximum Likelihood | 0.829414 |
| rho - Serial Correlation | 0.827876 |
| rho - Goldberger | 0.840888 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 114.532787 |
| Biased Variance X | 78.878269 |
| Biased S.E. X | 8.881344 |
| Mean Y | 168.139344 |
| Biased Variance Y | 3128.651895 |
| Biased S.E. Y | 55.934353 |
| Mean F | 168.139344 |
| Biased Variance F | 333.033209 |
| Biased S.E. F | 18.249197 |
| Mean e | 0.000000 |
| Biased Variance e | 2795.618686 |
| Biased S.E. e | 6.883558 |