1.Comparative Market Analysis and Regression Modeling
Dashboard · 2026
This dashboard displays a comparative market analysis (CMA) for residential real estate, solving the problem of manually calculating regression-backed pricing models for thin-market comparables. Using a sample of five listings, the analysis identifies a median ask of $230,000 and a mean list price of $239,760 for a mean house size of 1,299 square feet. A scatter plot visualizes price versus square footage with a linear regression trend line showing a 0.79 correlation, implying approximately $15.9K per additional 100 square feet. A dual-axis chart further compares total asking price against the per-square-foot valuation, demonstrating quantitative real estate appraisal methods.
What it shows:
Linear regression on small comparable sets quantifies the exact price impact of additional square footage.




