Project
Boston Housing Price Modeling Regression Analysis + Diagnostic Evaluation
Objective
This project models housing price variation using multivariate regression. The goal is not just prediction, but understanding how structural, accessibility, and neighborhood-level variables influence price while evaluating model validity through diagnostic testing.
Model Type
OLS Regression
Focus
Interpretation + Diagnostics
Skills
Residual analysis · Assumption testing · Model refinement
Tools
R / Statistical modeling workflow
Approach
- Construct multivariate regression model linking housing prices to structural and contextual predictors.
- Evaluate coefficient direction and magnitude for interpretability.
- Test assumptions using residual diagnostics.
- Assess model stability and potential improvements.
Technical Skills Demonstrated
- Data cleaning and variable preparation.
- Feature selection and model specification.
- Residual analysis and diagnostic interpretation.
- Clear communication of statistical results.
