| Simple Linear Regression - Analysis of Variance | |||
| ANOVA | DF | Sum of Squares | Mean Square |
| Regression | 1.000000 | 238.235294 | 238.235294 |
| Residual | 3.000000 | 761.764706 | 253.921569 |
| Total | 4.000000 | 1000.000000 | 250.000000 |
| F-TEST | 0.938224 | ||
| Simple Linear Regression - Autocorrelation | |
| Statistic | Value |
| Durbin-Watson | 1.875880 |
| Von Neumann Ratio | 2.344850 |
| rho - Least Squares | -0.320376 |
| rho - Maximum Likelihood | -0.219224 |
| rho - Serial Correlation | -0.242164 |
| rho - Goldberger | -0.265017 |
| Simple Linear Regression - Descriptive Statistics | |
| Statistic | Value |
| Mean X | 40.000000 |
| Biased Variance X | 680.000000 |
| Biased S.E. X | 26.076810 |
| Mean Y | 40.000000 |
| Biased Variance Y | 200.000000 |
| Biased S.E. Y | 14.142136 |
| Mean F | 40.000000 |
| Biased Variance F | 47.647059 |
| Biased S.E. F | 6.902685 |
| Mean e | 0.000000 |
| Biased Variance e | 152.352941 |
| Biased S.E. e | 7.126311 |