African Volcanology and Geochemistry (Earth Science) | 02 November 2010
Regional Monitoring Networks in Rwanda: Methodological Evaluation and Yield Improvement Analysis Using Multilevel Regression Models,
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Abstract
This study examines regional monitoring networks in Rwanda to evaluate their effectiveness and identify areas for improvement. Regional monitoring networks were assessed using multilevel regression models. The study employed mixed-effects linear regression (Y = β0 + β1X1 + β2X2 + ε), where Y represents the yield improvement, X1 and X2 are predictor variables, and ε captures random effects at different levels. The analysis revealed a significant positive correlation between network density and yield improvement (β1 = 0.85 with 95% confidence interval: [0.73, 0.97]). The findings suggest that denser monitoring networks are associated with greater yield improvements in Rwanda’s agricultural sector. Enhancing network density is recommended to achieve optimal yield improvement.