. 2024 Aug 2;19(8):942–955. doi: 10.26603/001c.121597

Table 4. Backwards linear regression analysis to predict quadriceps strength limb symmetry index.

Dependent Variable	Model	Retained Variable(s)	R²	Beta	p value
Extension 60º/sec LSI	1	SLMRH LSI	68.2%	2.43	< 0.001
Extension 60º/sec LSI	2	SLMRH LSI	68.2%	2.43	< 0.001
Extension 180º/sec LSI	1	SLMRH LSI	46.7%	1.35	< 0.001
	2	SLMRH LSI	57.7%	1.06	< 0.001
	2	Time From Surgery	57.7%	0.98	< 0.001
Extension 300º/sec LSI	1	SLLH LSI	31.6%	1.50	0.003
	2	SLLH LSI	62.9%	1.30	< 0.001
	2	Time From Surgery	62.9%	1.13	< 0.001

Model 1 variables: ACL-RSI, SLVJ, SLMRH, SLLH

Model 2 variables: Time from Surgery, ACL-RSI, SLVJ, SLMRH, SLLH

Abbreviations: ACL-RSI, Anterior Cruciate Ligament-Return to Sport after Injury; LSI, limb symmetry index; SLLH, single-leg lateral hop; SLMRH, single-leg medial rotation hop; SLVJ, single-leg vertical jump