Table 2.

Linear regression analysis between SRT and variables RAM EFR, age and threshold

SRTSiN,HP = f(β1X1, β2X2)Adj. R2 F (df1,df2)p
RAM EFR0.45F(1, 42) = 36.42p < .001
THA,4 kHz0.51F(1, 42) = 47.35<.001
THDP,4 kHz0.36F(1, 42) = 25.84<.001
Age0.58F(1, 42) = 59.87<.001
RAM EFR + THA,4 kHz0.60F(2, 41) = 33.01<.001
RAM EFR + THDP,4 kHz0.51F(2, 41) = 23.39<.001
RAM EFR * THA,4 kHz0.63F(3, 40) = 23.48<.001X1:X2 n.s.
RAM EFR * THDP,4 kHz0.50F(3, 40) = 15.42<.001X1:X2 n.s
SRTSiQ,HP = f(β1X1, β2X2)Adj. R2 F (df1,df2)p
RAM EFR0.33F(1, 42) = 22.33p < .001
THA,4 kHz0.76F(1, 42) = 134.1<.001
THDP,4 kHz0.51F(1, 42) = 46.21<.001
Age0.54F(1, 42) = 52.41<.001
RAM EFR + THA,4 kHz0.75F(2, 41) = 66.95<.001
RAM EFR + THDP,4 kHz0.54F(2, 41) = 26.3<.001
RAM EFR * THA,4 kHz0.77F(3, 40) = 48.66<.001X1:X2 n.s.
RAM EFR * THDP,4 kHz0.53F(3, 40) = 17.44<.001X1:X2 n.s
  • Linear regression models for SRTHP in noise (SiN) and quiet (SiQ) conducted for the entire cohort.