PERBANDINGAN MODEL REGRESI LINIER DAN REGRESI POISSON: STUDI KASUS JUMLAH STUNTING DI PROVINSI SUMATERA SELATAN

PEBYANDINI, NURHIDAYAH and Hanum, Herlina and Cahyono, Endro Setyo (2025) PERBANDINGAN MODEL REGRESI LINIER DAN REGRESI POISSON: STUDI KASUS JUMLAH STUNTING DI PROVINSI SUMATERA SELATAN. Undergraduate thesis, Sriwijaya University.

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Abstract

Linear regression and Poisson regression are two statistical methods used to analyze the relationship between independent and dependent variables. In theory, linear regression is more appropriate for continuous data while Poisson regression is more appropriate for discrete data such as the number of events. However, in practice, many studies still use linear regression to analyze discrete data (number of events) instead of Poisson regression because linear regression is more commonly used as a statistical tool to test the relationship between variables. This study aims to compare linear regression and Poisson regression models in analyzing the number of stunting in South Sumatra Province. The research population includes 17 cities/districts in South Sumatra Province with 9 independent variables. The results showed that Poisson regression is more suitable for analyzing the number of events than linear regression. This is indicated by the goodness of fit value of Poisson regression of 93.3% while linear regression is only 66.2%. This study also found that the number of low birth weight babies and the percentage of poor people are significant factors in influencing the number of stunting in South Sumatra Province. Keywords: Linear regression, Poisson regression, stunting, discrete data.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Regresi Linier, Regresi Poisson, Perbandingan Model
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Nurhidayah Pebyandini
Date Deposited:	20 Mar 2025 06:24
Last Modified:	20 Mar 2025 06:24
URI:	http://repository.unsri.ac.id/id/eprint/169475

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