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Table 3 Moderated regression models predicting changes in walking speed

From: Identifying candidates for targeted gait rehabilitation after stroke: better prediction through biomechanics-informed characterization

Models Predictor Statistics
Outcome Statistics Predictors b B p
∆UWS R 2 = 0.61
F(3, 21) = 11.15
P = 0.000
Constant 0.21   0.000
propbaseline
UWSbaseline
UWSbaseline × propbaseline
−0.60
4.27
−5.48
−1.09
1.21
−0.72
0.000
0.001
0.001
∆MWS R 2 = 0.49
F(3,21) = 6.69
P = 0.002
Constant 0.26   0.000
propbaseline
MWSbaseline
MWSbaseline × propbaseline
−0.27
3.59
−4.44
−0.69
1.11
−0.61
0.007
0.000
0.004
  1. Regression models predicting posttraining changes in usual (UWS) and maximum (MWS) walking speeds