Table 1.
Effect analysis of MCS and elapsed time on DER using multiple regression analysis.
| Regression Statistics | ||||||||
| Multiple R | 0.836881 | |||||||
| R Square | 0.70037 | |||||||
| Adjusted R Square | 0.694192 | |||||||
| Standard Error | 5.318337 | |||||||
| Observations | 100 | |||||||
| ANOVA | Degree of freedom | Sum of Squares | Mean Square | F | Significance F | |||
| Regression | 2 | 6413.057 | 3206.529 | 113.3661 | 4.12 × 10−26 | |||
| Residual | 97 | 2743.617 | 28.28471 | |||||
| Total | 99 | 9156.674 | ||||||
| Coefficients | Standard Error | t Stat | p-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 84.68844 | 1.780375 | 47.568 | 4.91 × 10−69 | 81.155 | 88.222 | 81.155 | 88.222 | 
| MCS | 0.277518 | 0.048762 | 5.6912 | 1.34× 10−7 | 0.1807 | 0.3743 | 0.18079 | 0.3743 | 
| Elapsed time | −20.7874 | 1.972863 | −10.54 | 9.34× 10−18 | −24.7 | −16.872 | −24.703 | −16.87 |