Regresion lineal para entender como la edad afecta el costo de un seguro de vida, manuel lenis y camila romero

p1

Assignment2

new stat project

stat project

Assignment-2

This analysis aims to answer key business questions regarding sales performance, channel distribution, and pricing strategies. By applying data cleaning, exploratory data analysis (EDA), and predictive modeling techniques in R, we derive actionable insights to support decision-making. **Important Disclaimer:** Please note that the dataset utilized in this project is **synthetic and created exclusively for educational and demonstration purposes**. It does not represent actual confidential sales records, financial metrics, or operational data of Inyange Industries. All figures, customer details, and transaction volumes are dummy data generated to showcase data science and R programming capabilities.