highly significantP < .0001
Multiple linear regression model fits and β coefficients for V R were highly significant for each of the intelligibility indices and were best for RT 60 (R 2 = 0.666, F(2, 37) = 39.9, P < .0001).
Multiple linear regression model fits and β coefficients for V R were highly significant for each of the intelligibility indices and were best for RT 60 (R 2 = 0.666, F(2, 37) = 39.9, P < .0001).
Principal component analysis indicates that 79.42% of the variance in these indices can be explained by 1 component, and that 95.80% can be explained by 2 components, although the second component just missed significance due to an eigenvalue (0.983) <1.