Open Access

Table 7

Prediction models for the mean optimal perception ratings based on the optimal acoustic parameters.

Group Linear regression equations for the mean optimal perception ratings due to metro noise R 2 Std. Err. Beta
Office staff MAR = 0.038N + 1.560 0.289 0.262 0.537
Non-office staff MDR = 0.353LAeq − 17.761 0.798 0.617 0.894
MDR = 0.235LAFmax − 11.389 0.782 0.642 0.885
MDR = 0.236N + 0.250 0.913 0.406 0.955
MDR = 12.906R + 1.048 0.163 1.258 0.403
MDR = 2.816S − 1.045 0.894 0.449 0.945
MDR = 2.084F + 1.872 0.586 0.885 0.765
Non-office staff MAR = 0.242LAeq − 9.620 0.608 0.676 0.779
MAR = 0.159LAFmax − 5.163 0.585 0.696 0.765
MAR = 0.165N + 2.663 0.720 0.571 0.848
MAR = 15.373R + 1.758 0.375 0.853 0.612
MAR = 2.123S + 1.473 0.824 0.452 0.908
MAR = 1.500F + 3.743 0.493 0.768 0.702

Note: R2, the coefficient of determination; Std. Err., the standard error of the estimate; Beta, standard regression coefficient; MDR, mean dissatisfaction rating; MAR, mean annoyance rating.

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