Table 4.

Multiple regression analysis.

Model Summary
	R	R Square	Adjusted R Square	Std. Error of the Estimate
MDS	0.669	0.447	0.436	7.5173
ANOVA—MDS
	Sum of square	df	Mean Square	F	Sig.
Regression	6494.960	3	2164.987	38.312	<0.001 *
Residual	8024.288	142	58.509
Total	14519.248	145
Coefficients—MDS
Predictors	Unstandardized Coefficients		Standardized Coefficients		95.0% CI for B
	B	Std. Error	B	T	Sig.	Lower Bound	Upper Bound
Constant	171.823	11.978		14.345	<0.001 *	148.144	195.501
Chronological Age	−2.649	0.260	−0.640	−10.178	<0.001 *	−3.164	−2.135
DBP	−0.385	0.122	−0.229	−3.162	0.002 *	−0.626	−0.144
Interlimb Balance Symmetry	−0.027	0.124	−0.015	−0.214	0.831	−0.272	0.219

Abbreviations: DBP, dynamic balance performance; MDS, multidirectional speed performance; R, multiple correlation coefficient; df, degrees of freedom; F, F-ratio; Sig., significant; B, Beta; t, t-value; Std., standard; CI, confidence interval. *, multiple regression is significant at the 0.05 level.