{"title":"用多种回归分析影响希兰多希村房屋状况的因素分析","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":"{\"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}","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}
Analisis Faktor yang Mempengaruhi Kondisi Rumah Masyarakat Desa Helandohi Menggunakan Analisis Regresi Berganda
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.