• Title/Summary/Keyword: multiplu regression analysis

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Variables that affect housing satisfaction: Focusing on the condition of the house (주택 만족도에 영향을 주는 변인: 주택의 상태를 중심으로)

  • Ha Young Jang;Ji Yeon Park
    • Industry Promotion Research
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    • v.9 no.4
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    • pp.341-349
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    • 2024
  • This study was conducted to determine the influence of housing condition variables on housing satisfaction. To this, the 2022 Housing Status Survey data was analyzed, and the total number of households targeted was 51,325. The data was analyzed using the SPSS PC+ Win. Ver. 24 program, and frequency analysis, correlation analysis, and multiple regression analysis were performed. The results of the study are as follows. First, the correlation analysis results showed that all housing condition-related variables were positively correlated. Among them, crack condition and waterproofing condition were strongly correlated. Second, the multiple regression analysis results showed that the structural soundness and crack condition of the house were the most important factors in housing satisfaction when the house was above ground. Third, when the house was semi-basement or underground, it was found that there was no influence other than the heating and noise conditions, except for the solidity and crack condition of the house. Based on these research results, suggestions for future research were made and policy measures were also revealed.