Table 4 Explained variance and regression model characteristics of the multiple regression results
From: The impact of apraxia and neglect on early rehabilitation outcome after stroke
Predictors | |||||
|---|---|---|---|---|---|
| Â | Score at T1 | Apraxia component | Neglect component | Age | Education |
KöpSS (n = 100) | |||||
Regression model | b = 0.425 t = 6.714 | b = 5.084 t = 5.378 | – | b = − 0.166 t = − 3.398 | b = 0.373 t = 2.011 |
Explained variance 68.2% | p < 0.001 [0.307,0.555] | p < 0.001 [2.954,6.99] |  | p < 0.01 [− 2.65,− 0.075] | p < 0.05 [0.057,0.68] |
FRBI (n = 121) | |||||
Regression model | b = 0.55 t = 5.858 | – | b = 5.668 t = 2.34 | – | – |
Explained variance 34,5% | p < 0.001 [0.256,0.859] |  | p < 0.05 [0.719,11.334] |  |  |
FIM/FAM (n = 113) | |||||
Regression model | b = 1.187 t = 16.324 | – | – | – | – |
Explained variance 73,8% | p < 0.001 [1.014,1.484] | ||||
NIHSS (n = 106) | |||||
Regression model | b = 0.699 t = 9.075 | – | – | – | – |
Explained variance 51,6% | p < 0.001 [0.548,0.853] | ||||