Advances, Systems and Applications
Table 3 Linear Regression results between Rp and t0 for stock
From: Tunable consistency guarantees of selective data consistency model
Model | R | R Square | Adjusted R Square | Change Statistics | |||
|---|---|---|---|---|---|---|---|
| Â | Â | Â | Â | R Square Change | F Change | Sig. F Change | |
1 | .817 | .667 | .666 | .667 | 756.658 | .000 | |
Coefficients’ | |||||||
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | 95.0Â % Confidence Interval for B | ||
B | Std. Error | Beta | Lower Bound | Upper Bound | |||
(Constant) | 4723.333 | 151.707 | Â | 31.135 | .000 | 4425.038 | 5021.628 |
Replicas | 726.553 | 26.413 | .817 | 27.507 | .000 | 674.618 | 778.488 |