In a public health study investigating the impact of environmental factors, socio-economic conditions and healthcare interventions on malaria incidence, data were collected from several health districts during a peak transmission period. Each observation describes local environmental and living conditions, a specific medical intervention and the resulting malaria incidence rate, measured in cases per 1,000 inhabitants. This practical exercise aims to model and explain malaria incidence using a multiple linear regression approach based on available environmental, socioeconomic and prevention variables.

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Application of week 6 lab concept to city government websites