2.3. Statistical Analysis Method

To investigate which thermal environment parameter has a greater association with and impact on occupant attendance in the outdoor spaces, Pearson correlation coefficients and standardized regression coefficients were calculated. We firstly used the Pearson correlation coefficient, which is a value between −1 and 1, to measure the strength and direction of associations between occupant attendance and the thermal environment parameters (Ta, RH, WS, and TmrtTa). Second, the standardized regression coefficients from the multiple linear regression between the attendance (dependent variable) and thermal environment parameters (independent variables) were used to compare the contributions from different thermal environment parameters to variations in occupant attendance. The weights of different variables were determined by dividing the absolute standard regression coefficient by the sum of all the absolute values of standard regression coefficients. The statistical evaluations were conducted using the IBM SPSS Statistics 23 program.

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