Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507001799	T169475	T1694752025	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1694752025

Publisher

Indralaya : Prodi Pendidikan Matematika, Fakultas Keguruan dan Ilmu Pendidikan Universitas Sriwijaya., 2025

Collation

xiv, 66 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

510.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Matematika
Prodi Pendidikan Matematika

Specific Detail Info

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Statement of Responsibility

TUTI

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