Table 3.
Mathematical model and regression analysis
| Regression Statistics | ||||||||
|---|---|---|---|---|---|---|---|---|
| Multiple R | 0.978 | - | ||||||
| R Square | 0.956 | Goodness of Fit > = 0.80 | - | |||||
| Adjusted R Square | 0.939 | - | ||||||
| Standard Error | 0.494 | - | ||||||
| Observations | 16 | - | ||||||
| - | - | |||||||
| ANOVA | - | |||||||
| - | df | SS | MS | F | P-value | - | ||
| Regression | 4 | 57.75 | 14.4375 | 59.09302326 | 0.000 | - | ||
| Residual | 11 | 2.6875 | 0.244318182 | - | ||||
| Total | 15 | 60.4375 | - | Confidence Level | ||||
| - | 0.95 | - | 0.99 | |||||
| - | Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 99% | Upper 99% |
| Intercept | 0.53125 | 0.305823567 | 1.737112694 | 0.110 | -0.141863132 | 1.204363132 | -0.41858 | 1.481079 |
| Leadership | 0.625 | 0.247142763 | 2.528902694 | 0.028 | 0.081042446 | 1.168957554 | -0.14258 | 1.392578 |
| IPC | 0.421875 | 0.030892845 | 13.65607455 | 0.000 | 0.353880306 | 0.489869694 | 0.325928 | 0.517822 |
| Ops Mgmt | 1.375 | 0.247142763 | 5.563585927 | 0.000 | 0.831042446 | 1.918957554 | 0.607422 | 2.142578 |
| Clinical | 0.109375 | 0.030892845 | 3.540463772 | 0.005 | 0.041380306 | 0.177369694 | 0.013428 | 0.205322 |
y = 0.531 + 0.625*Leadership + 0.422*IPC + 1.375*Ops Management + 0.109*Clinical