Table 2.
The linear regression analysis of NACH (R=1,200) and real movement data by SPSS.
| Model | Unstandardized coefficients | Standardized coefficients | t | Sig. | R square | Adjusted R square | F | ||
|---|---|---|---|---|---|---|---|---|---|
| B | Std. error | Beta | |||||||
| 1 | (Constant) | 0.877 | 0.276 | 3.172 | 0.003* | 0.589 | 0.576 | 47.264 (0.000**) | |
| NACH(R=1,200) | 1.584 | 0.230 | 0.767 | 6.875 | 0.000** | ||||
Correlation is significant at the 0.05 level (2-tailed).
Correlation is significant at the 0.01 level (2-tailed).
Dependent variable: log movement average.
Predictors: (constant), NACH(R=1,200).