TontonGit/Life-expectancy-analysis

Regression analysis of life expectancy in 4 West African countries. # 📊 Life Expectancy and Socio-Economic Conditions in West Africa --- ## 📌 Project Overview This project investigates the relationship between life expectancy and key socio-economic indicators in four West African countries. Using regression analysis, it explores how economic development and access to essential services influence population health outcomes. --- ## 🎯 Objective The goal of this study is to evaluate how selected economic and health-related factors impact life expectancy. Using data from the **World Development Indicators (WDI)**, this project provides insights that can support policymakers in improving public health and socio-economic conditions. --- ## 📂 Dataset - **Source:** World Bank – World Development Indicators (WDI) - **Type:** Macroeconomic & Development Indicators ### 🔑 Selected Variables - **Life Expectancy** *(Dependent Variable)* - **GDP per Capita** - **Health Expenditure** - **Access to Electricity** - **Mobile Subscriptions** --- ## ⚙️ Methodology - Data cleaning and preprocessing - Exploratory Data Analysis (EDA) - Linear regression modeling - Model diagnostics (residual analysis, Durbin-Watson test) - Comparison with a quadratic model --- ## 📈 Key Findings - The linear model explains approximately **69% of the variation** in life expectancy - Predictors show **strong statistical significance** ### ⚠️ Diagnostic Limitations - Autocorrelation detected (Durbin-Watson test) - Residual skewness indicates non-normality - The quadratic model **did not improve performance** --- ## 🚀 How to Run the Project ### 1. Clone the repository ```bash git clone github.com cd life-expectancy-regression ``` ### 2. Install dependencies **Make sure you have Python 3 installed, then run:** ```bash pip install -r requirements.txt ``` ### 3. Run the notebook ```bash jupyter notebook ``` ## 📊 Visualizations This section highlights key relationships between socio-economic factors …