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Table 3.

Regression model overview showing standardized regression coefficients (β) and probability values (p) for each predictor, and each model’s R adj 2, AIC and BIC. For “time delay”, the β represents the change in the dependent variable upon including the time delay. The last section displays ANOVAs testing model improvement due to inclusion of additional predictors, reporting the increment in sum of squares (ΔS S), the increment in degrees of freedom (Δd f), the F statistic and its p value.

Model 1 Model 2A Model 2B Model 3
Predictors β p β p β p β p
Time delay 0.340 0.305 0.261 0.404 0.527 0.109 0.273 0.379
NoiSeQ-R (h) −0.477 0.002 −0.528 0.002 −0.468 0.006 −0.487 0.005
Perc. abil 0.329 0.036 0.281 0.080
Mus. train 0.333 0.039
Age −0.184 0.245
Model fit
R adj 2 0.259 0.348 0.345 0.358
AIC 83.533 80.416 80.566 80.772
BIC 89.269 87.586 87.736 89.376
ANOVA
Null model Model 1 Model 1 Model 2A
ΔS S 3.158 3.072 .909
Δd f 1 1 1
F 4.920 4.787 1.416
p 0.035 0.038 0.245

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