{"title":"Analisis Faktor yang Mempengaruhi Kondisi Rumah Masyarakat Desa Helandohi Menggunakan Analisis Regresi Berganda","authors":"Jeni Marianti Loban, Jefrianus Mau","doi":"10.21009/jmt.5.2.3","DOIUrl":null,"url":null,"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.","PeriodicalId":299241,"journal":{"name":"JMT : Jurnal Matematika dan Terapan","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMT : Jurnal Matematika dan Terapan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21009/jmt.5.2.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.