Table 4 Results of multiple linear regression analysis.
\({ k}_{L}a\) | |||||
|---|---|---|---|---|---|
Constant | A | B | C | ||
Non-normalized coefficient | B | 0.02 | –0.044 | 0.029 | –0.013 |
Standard error | 0.002 | 0.01 | 0.01 | 0.003 | |
Normalization coefficient | Beta | – | –0.636 | 0.414 | –0.567 |
t | 12.081 | –4.443 | 2.888 | –3.957 | |
P | 0.000*** | 0.007*** | 0.034** | 0.011** | |
VIF | – | 1 | 1 | 1 | |
R2 | 0.897 | ||||
Adjusted R2 | 0.836 | ||||
F | F = 14.578 P = 0.007*** | ||||
\(P/V\) | |||||
|---|---|---|---|---|---|
Constant | A | B | C | ||
Non-normalized coefficient | B | 248.009 | –731.511 | 230.642 | –340.958 |
Standard error | 17.18 | 104.599 | 104.599 | 34.866 | |
Normalization coefficient | Beta | – | –0.563 | 0.177 | –0.787 |
t | 14.436 | –6.993 | 2.205 | –9.779 | |
P | 0.000*** | 0.001*** | 0.079* | 0.000*** | |
VIF | – | 1 | 1 | 1 | |
R2 | 0.968 | ||||
Adjusted R2 | 0.948 | ||||
F | F = 49.799 P = 0.000*** | ||||