Table 2.

Stepwise MLR Models of Aided SRT_SSN and SRT_R2TM.

Priority	Predictor	Coefficient	t-value	p	Accum. R2
SRTSSN
n/a	Intercept	−7.7	−8.0	4.1 × 10−11	–
1	BMCE	3.46	4.5	3.2 × 10−5	.22
2	HLIHC	0.104	3.4	1.0 × 10−3	.32
3	Age	0.031	2.9	5.8 × 10−3	.39
SRTR2TM
n/a	Intercept	−6.6	−5.5	7.0 × 10−7	–
1	FMDT	2.34	4.7	1.3 × 10−5	.27
2	PTT	0.060	3.2	1.9 × 10−3	.37
3	Age	0.022	2.0	4.9 × 10 − 2	.39

Note. MLR = multiple linear regression; SRT = speech reception threshold; SSN = speech-shaped noise; R2TM = time-reversed two-talker masker; HLIHC: contribution of inner hair cell dysfunction to the audiometry loss; BMCE = basilar-membrane compression exponent; FMDT = frequency modulation detection threshold. Columns indicate the predictor’s priority order and name, the regression coefficient, the t-value, and corresponding probability for a significant contribution (p), and the accumulated proportion of total variance explained (Accum. R²), respectively. The priority order is established according to how much the corresponding predictor contributed to the predicted variance (higher priority is given to larger contributions). The accumulated R² is the predicted variance adjusted for the number of variables included in the regression model.