This project applies statistical analysis and regression modeling to examine relationships between variables and predict outcomes using a structured dataset. It begins with exploratory analysis to identify patterns and key characteristics, followed by regression techniques to measure how independent variables influence the dependent variable. The model is evaluated using statistical metrics such as R-squared and significance levels to ensure accuracy and reliability. Final results are used to generate predictions and provide clear, data-driven insights that support effective decision-making.
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