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ANALISIS REGRESI DATA PANEL STUDI KASUS PERSENTASE KEMISKINAN KAB/KOTA PROVINSI RIAU TAHUN 2015-2019

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dc.contributor.author Rahmah, Kholiqa
dc.date.accessioned 2021-09-27T03:15:33Z
dc.date.available 2021-09-27T03:15:33Z
dc.date.issued 2021-01
dc.identifier.other wahyu sari yeni
dc.identifier.uri https://repository.unri.ac.id/handle/123456789/10215
dc.description.abstract Average length of schooling, life expectancy, length of schooling expectancy and middle age enrollment rates are variables that contribute to the percentage of poverty. The data used are data from BPS Riau Province 2015 - 2018 in the form of cross section and time series data, then regression analysis which is a statistical analysis to explain the relationship of a response variable using one or more explanatory variables is carried out using panel data regression which has 3 models. the best, between the common effect model, fixed effect and random effect. By comparing the common effect, fixed effect and random effect models in order to obtain the best modeling for the percentage of poverty in Riau Province Regency / City, namely the random effect model. en_US
dc.description.provenance Submitted by wahyu sari yeni (ayoe32@ymail.com) on 2021-09-27T03:15:33Z No. of bitstreams: 1 KHOLIQA RAHMAH_compressed.pdf: 170792 bytes, checksum: eaeffe5062055a9d0fe9295b141c950d (MD5) en
dc.description.provenance Made available in DSpace on 2021-09-27T03:15:33Z (GMT). No. of bitstreams: 1 KHOLIQA RAHMAH_compressed.pdf: 170792 bytes, checksum: eaeffe5062055a9d0fe9295b141c950d (MD5) Previous issue date: 2021-01 en
dc.description.sponsorship Program Studi S1 Statistika Jurusan Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Riau en_US
dc.language.iso en en_US
dc.subject Regression analysis en_US
dc.subject common effect en_US
dc.subject fixed effect en_US
dc.subject random effect en_US
dc.subject poverty en_US
dc.title ANALISIS REGRESI DATA PANEL STUDI KASUS PERSENTASE KEMISKINAN KAB/KOTA PROVINSI RIAU TAHUN 2015-2019 en_US
dc.type Article en_US
dc.contributor.supervisor Harison, Harison


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