The Relationship between Independent Transfer Skills and Upper Limb Kinetics in Wheelchair Users

Table 6

Multiple linear regression analysis summary for predicting part 1 score.

Variable	𝐵	SEB	𝛽	sr^2	Sig.	Regression model
Trailing (right) elbow AveRM*	−5.86	2.02	−.53	.29	<.01	𝐹(1,21)=8.40,; 𝑃<.01, 𝑅^2=.29
Leading (left) shoulder MaxExtenM	1.94	.85	.35	.12	.03	𝐹(2,20)=12.54,; 𝑃<.01, 𝑅^2=.56
Leading (left) elbow MaxRMRate*	−1.13	.30	−.57	.31	<.01

Note: ∗the predictor significantly contributed to the regression model. 𝐵: unstandardized regression coefficients; SEB: standard error of the unstandardized regression coefficients; 𝛽: standardized regression coefficients; sr²: squared semipartial correlations; Sig.: significance; Ave: average; Max: maximum; RM: resultant moment; ExtenM: extension moment; RMRate: rate of rise of resultant moment.