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. 2021 Feb;65:102585. doi: 10.1016/j.scs.2020.102585

Table 5.

Multiple regression analysis of "Reduce use of air conditioner".

Explanatory variable Coefficient T value Significant probability VIF(Variance Inflation Factor)
Difficult to sleep .281 3.279 .001 1.922
Due to the obstruction of ventilation .200 3.015 .003 1.152
I think it is a serious situation .142 1.975 .050 1.349
My house has good ventilation .139 2.145 .033 1.106
It is difficult not to use it while others are using it -.129 −1.911 .058 1.190
We should promote “cool share” .216 3.279 .001 1.141
I use air conditioning more frequently -.195 −2.513 .013 1.583
Many opportunities to use public facilities .180 2.719 .007 1.146
It is difficult to go out during the day -.193 −2.256 .025 1.919
Gender -.212 −3.217 .002 1.134

Adjusted R2=0.872 objective variable: Reduce use of air conditioner.