Dependent variable (Y) | Independent variable (X) | Coefficient of regression β (P) | Constant α (P) | Linear regression equation | 95% confidence interval (CI) of β |
---|---|---|---|---|---|
SE (diopter) | F (step) | 6.851 (.001) | −5.850 (<.0001) | Y = 6.851X-5.850 | 2.975–10.727 |
F (graft step) | 5.428 (0.005) | −4.708 (<.0001) | Y = 5.428X-4.708 | 1.685–9.171 | |
GHT | −0.019 (0.021) | 10.391 (0.069) | Y = -0.019X + 10.391 | −0.036 - -0.003 | |
Pm | 5.164 (0.018) | −5.912 (<.0001) | Y = 5.164X-5.912 | 0.913–9.416 | |
Sm | 0.018 (0.037) | −5.046 (<.0001) | Y = 0.018X-5.046 | 0.001–0.035 | |
Tg | 0.019 (0.022) | −15.588 (0.006) | Y = 0.019X-15.588 | 0.003–0.035 | |
|Tg-Th| | 0.031 (0.007) | −5.501 (<.0001) | Y = 0.031X-5.501 | 0.009–0.054 | |
logMAR BCVA | F (protrusion) | – | – | – | |
GHT | 0.001 (0.030) | −0.312 (0.309) | Y = 0.001X-0.312 | 0–0.002 | |
Tg | 0.001 (0.001) | −0.615 (0.028) | Y = 0.001X-0.615 | 0.001–0.002 | |
DS (diopter) | F (step) | 6.319 (0.001) | −3.459 (0.001) | Y = 6.319X-3.459 | 2.698–9.940 |
F (graft step) | 5.067 (0.005) | −2.427 (0.005) | Y = 5.067X-2.427 | 1.582–8.522 | |
GHT | −0.02 (0.010) | 12.948 (0.015) | Y = -0.02X + 12.948 | −0.035 - -0.005 | |
Pm | 4.518 (0.027) | −3.374 (0.013) | Y = 4.518X-3.374 | 0.526–8.511 | |
Tg | 0.017 (0.025) | −12.336 (0.018) | Y = 0.017X-12.336 | 0.002–0.033 | |
|Tg-Th| | 0.027 (0.015) | −2.564 (0.009) | Y = 0.027X-2.564 | 0.006–0.048 | |
Astig value (diopter) | Sm | 0.017 (0.047) | −1.598 (0.176) | Y = 0.017X-1.598 | 0–0.033 |