Dependent variable | Predictors | SE | β | t-val. | p-value | 95% CI |
|---|
Ambulatory capability | (Constant) | 9.88 |  | −2.75 | 0.007 | −46.75 to −7.69 |
|  | LEMF | 0.16 | 0.046 | 0.71 | 0.482 | −0.20–0.42 |
|  | MBL | 0.18 | 0.155 | −2.45 | 0.015* | 0.09–0.79 |
|  | PSTPL | 0.11 | 0.116 | 1.54 | 0.125 | −0.05–0.37 |
|  | Gait Speed | 5.15 | 0.132 | 1.69 | 0.093 | −1.47–18.89 |
|  | Cadence | 0.05 | 0.061 | 0.87 | 0.386 | −0.06–0.15 |
|  | PSWT | 2.19 | −0.032 | −0.46 | 0.643 | −5.34–3.31 |
|  | PSTT | 2.00 | −0.054 | −0.65 | 0.518 | −5.24–2.65 |
|  | PIDLST | 2.38 | −0.025 | −0.33 | 0.739 | −5.51–3.91 |
|  | Balance | 0.12 | 0.363 | 4.61 | <0.001* | 0.32–0.80 |
|  | Cognition | 0.09 | 0.102 | 1.57 | 0.118 | −0.04–0.31 |
- Final regression model for predicting ambulatory capability (R2 = 0.529, F, df=10, = 17.039, p ≤ 0.001). Regression equation: Y = a + bx; thus, ambulatory capability = −27.22 + bx where Y = value of dependent variable, a = constant, b = regression coefficient of each predictor variable, and x = value of each predictor. Values of b and x will be added to the equation continuously depending on the number of predictor variables
- Key: LEMF Lower extremity motor function, MBL Mobility level, PSTPL Paretic step length, PSWT Paretic swing time, PSTT Paretic stance time, PIDLST Paretic initial double-limb support time, B unstandardized coefficient, SE Standard error, β standardized coefficient, t-val. t-statistics, p-value significance level, 95% CI 95% confidence interval, Part C. part correlation, Tolr. tolerance, df degree of freedom, R2 coefficient of determination, F ANOVA value
- *Significant at p ≤ 0.05
