. 2019 May 29;23:101879. doi: 10.1016/j.nicl.2019.101879

Table 3.

Stepwise regression results (significant level for entry into the model 0.05).

	Model	F (4,31) = 7.18 (p < .001)
	Step	Predictor	ΔR²	R²	Adj R²	ΔF	p Value
Motor score	1	Age and scanner^a	0.30	0.30	0.25	6.97	.003
	2	Lesion F	0.11	0.4	0.35	5.82	.02
	3	R2* NADGM	0.08	0.48	0.42	4.51	.04

	Model	F (4,30) = 11.99 (p < .001)
	Step	Predictor	ΔR²	R²	Adj R²	ΔF	p Value
Cognitive score	1	Age and scanner^a	0.22	0.22	0.17	4.42	.02
	2	Lesion F	0.34	0.56	0.52	24.12	<.001
	3	MT Lesion	0.06	0.61	0.56	4.32	.04

	Model	F (4,31) = 8.33 (p < .001)
	Step	Predictor	ΔR²	R²	Adj R²	ΔF	p Value
EDSS	1	Age and scanner^a	0.35	0.35	0.31	8.70	<.001
	2	R2* NADGM	0.09	0.44	0.39	5.27	.03
	3	R1 NACGM	0.08	0.52	0.46	5.15	.03

Significant level for entry into the model = .05.

Abbreviations: NACGM = normal appearing cortical grey matter, NADGM = normal appearing deep grey matter, Lesion F = lesion fraction, EDSS = expanded disability status scale.

Forced into the model.