Simple Linear Regression - Analysis of Variance | |||
ANOVA | DF | Sum of Squares | Mean Square |
Regression | 1.000000 | 1267.860966 | 1267.860966 |
Residual | 78.000000 | 93138.422909 | 1194.082345 |
Total | 79.000000 | 94406.283875 | 1195.016252 |
F-TEST | 1.061787 |
Simple Linear Regression - Autocorrelation | |
Statistic | Value |
Durbin-Watson | 0.011102 |
Von Neumann Ratio | 0.011243 |
rho - Least Squares | 1.012041 |
rho - Maximum Likelihood | 0.977218 |
rho - Serial Correlation | 0.984828 |
rho - Goldberger | 0.994477 |
Simple Linear Regression - Descriptive Statistics | |
Statistic | Value |
Mean X | 83.361250 |
Biased Variance X | 100.957623 |
Biased S.E. X | 10.047767 |
Mean Y | 115.591250 |
Biased Variance Y | 1180.078548 |
Biased S.E. Y | 34.352271 |
Mean F | 115.591250 |
Biased Variance F | 15.848262 |
Biased S.E. F | 3.980988 |
Mean e | 0.000000 |
Biased Variance e | 1164.230286 |
Biased S.E. e | 3.863422 |