## 3 Results
### Prediction of Environmental Satisfaction (Thermal and Air Quality)  
Table 6 presents the results of three regression models that predict the effect of various independent variables on overall thermal satisfaction as an outcome variable. Model 1 indicated that personally adjusting a room air conditioning unit (\(B=-0.792\), \(p<0.01\)) and none of the provided number of control variables (\(B=1.649\), \(p<0.01\)) in the respondents' indoor environment significantly predicted the overall thermal satisfaction levels, with an \(R^{2}\) value of 0.082 (\(p<0.01\)). With the inclusion of the housing variables in Model 2, the predicting roles of personally controlling the room air conditioning unit (\(B=-0.861\), \(p<0.01\)), none of the provided variables (\(B=1.471\), \(p<0.05\)), and the duration of the occupancy (\(B=0.047\), \(p<0.1\)) were significant. In Model 3, after adding the socio-economic and demographic factors, the predicting role of the room air conditioning unit (\(B=-0.861\), \(p<0.01\)), none of the provided variables (\(B=1.471\), \(p<0.05\)), and alcohol consumption (\(B=0.379\), \(p<0.01\)) had a significant effect on overall thermal satisfaction. However, the other room control variables and housing conditions had no significant effect on overall temperature satisfaction. Additionally, the increases in \(R^{2}\) values in Models 2 and 3 were not statistically significant (\(p>0.05\)). \begin{table}
\begin{tabular}{c c c c c c c} \hline \multirow{2}{*}{**Variable**} & \multicolumn{2}{c}{**Model 1**} & \multicolumn{2}{c}{**Model 2**} & \multicolumn{2}{c}{**Model 3**} \\ \cline{2-7}  & **B** & **SE** & **B** & **SE** & **B** & **SE** \\ \hline Constant & \(54.843\)*** & \(1.436\) & \(55.632\)*** & \(1.712\) & \(56.129\)*** & \(2.859\) \\ Num\_Tcontrol & \(-0.034\) & \(0.424\) & \(-0.022\) & \(0.424\) & \(0.075\) & \(0.430\) \\ OS\_T & \(-0.543\)* & \(0.293\) & \(-0.532\)* & \(0.293\) & \(-0.470\) & \(0.296\) \\ Num\_Tdis & \(0.789\) & \(0.576\) & \(0.794\) & \(0.578\) & \(0.777\) & \(0.581\) \\ OS\_AQ & \(-1.430\)*** & \(0.283\) & \(-1.383\)*** & \(0.285\) & \(-1.351\)*** & \(0.289\) \\ Num\_Odo & \(-0.539\) & \(0.528\) & \(-0.596\) & \(0.531\) & \(-0.531\) & \(0.531\) \\ L\_dura & & & \(-0.193\) & \(0.150\) & \(-0.212\) & \(0.155\) \\ H\_floor & & & \(-0.022\) & \(0.221\) & \(-0.055\) & \(0.221\) \\ Age & & & & & \(0.427\) & \(0.280\) \\ Gender & & & & & \(-1.065\) & \(0.938\) \\ Smo\_stat & & & & & \(-0.203\) & \(0.496\) \\ Alc\_stat & & & & & \(-1.282\)* & \(0.723\) \\ Emp\_stat & & & & & \(0.154\) & \(0.210\) \\ Edu\_stat & & & & & \(0.286\) & \(0.394\) \\ R\({}^{2}\) & \(0.097\) & & \(0.100\) & & \(0.116\) \\ \(\Delta\)R\({}^{2}\) & & & \(0.004\) & & \(0.016\) \\ \hline \end{tabular}
\end{table} 
Table 5: Multiple regression analysis with MCS as outcome variable. Model 1 established that low relative humidity (\(B\) = 0.577, \(p\) < 0.01), low air movement (\(B\) = 0.980, \(p\) < 0.01), solar gain (\(B\) = 0.463, \(p\) < 0.05) and the indoor temperature imbalance (\(B\) = 1.320, \(p\) < 0.01) statistically significantly predicted overall thermal satisfaction, with an \(R^{2}\) of 0.078 (\(p\) < 0.01). With the inclusion of housing condition variables in Model 2, the indoor temperature imbalance (\(B\) = 1.338, \(p\) < 0.05) and low air movement (\(B\) = 1.103, \(p\) < 0.1) continued to significantly predict thermal satisfaction. The duration of the residence (\(B\) = 0.066, \(p\) < 0.05) also emerged as a significant predictor, indicating that longer residency was associated with higher thermal satisfaction. In Model 3, after adding demographic and socio-economic variables, the effects of the indoor temperature imbalance (\(B\) = 1.217, \(p\) < 0.05), low air movement (\(B\) = 1.077, \(p\) < 0.1), the duration of the residence (\(B\) = 0.054, \(p\) < 0.1) and alcohol consumption (\(B\) = 0.343, \(p\) < 0.05) significantly predicted overall thermal satisfaction. Additionally, there were no significant differences among the \(R^{2}\) values of Models 2 and 3 (\(p\) > 0.05).