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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