Dependent variable | Predictors | SE | β | t-value | p-value | 95% CI |
|---|
Ambulatory endurance | (Constant) | 31.02 |  | 1.99 | 0.842 | −55.10–67.47 |
|  | LEMF | 0.49 | −0.064 | −1.40 | 0.165 | −1.65–0.28 |
|  | MBL | 0.56 | −0.023 | −0.52 | 0.605 | −1.39–0.81 |
|  | PSTPL | 0.33 | 0.157 | 2.97 | 0.003* | 0.33–1.63 |
|  | Gait speed | 16.18 | 0.648 | 11.75 | <0.001* | 158.10–222.02 |
|  | Cadence | 0.17 | 0.078 | 1.59 | 0.114 | −0.07–0.61 |
|  | PSWT | 6.87 | −0.055 | −1.14 | 0.258 | −21.36–5.77 |
|  | PSTT | 6.26 | −0.029 | −0.50 | 0.620 | −15.48–9.27 |
|  | PIDLST | 7.48 | −0.042 | −0.82 | 0.416 | −20.98–8.68 |
|  | Balance | 0.38 | 0.108 | 1.95 | 0.054 | −0.01–1.50 |
|  | Cognition | 2.70 | 0.025 | 0.55 | 0.583 | −0.39–0.68 |
- Final regression model for predicting ambulatory/walking endurance (R2 = 0.765, F4, df=10, = 49.395.82, p ≤ 0.001). Regression equation: Y = a + bx; thus, walking endurance = 6.19+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-value 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
