Analisis Faktor yang Mempengaruhi Kondisi Rumah Masyarakat Desa Helandohi Menggunakan Analisis Regresi Berganda

Authors

  • Jeni Marianti Loban Universitas Tribuana Kalabahi
  • Jefrianus Mau Universitas Tribuana Kalabahi

DOI:

https://doi.org/10.21009/jmt.5.2.3

Keywords:

Multiple Regression Analysis

Abstract

This study aims to see the relationship between the Dependent Variable (Y), namely the condition of the house, Independent Variable (X1): number of family members, Independent Variable (X2) : education level, and Independent Variable (X3): family income. The data was obtained directly (primary data). Using multiple linear regression method with SPSS software. The result obtained from the F test the variable number of family members (X1), the education level variable (X2), and the family income variable (X3) simultaneously influence the housing condition variable. The regression equation is Y = 0.398 + 0.019 X1 + 0.001 X2 – 0.019X3 and the value of R2 = 0.76.

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Published

2023-08-31