Real Estate Market Analysis Report: Predicting House and Unit Prices

This report analyzes real estate market data from non-capital cities and towns in States A and B, aiming to predict house and unit prices. The analysis begins with data formation, splitting the data into subgroups based on residential type. Descriptive statistics, including mean, median, mode, standard deviation, and skewness, are calculated for each variable in both states. Multiple regression models are developed to predict prices, with the unit price in State A significantly depending on the number of bathrooms, while in State B, it depends on the internal area and number of bathrooms. House prices in State A are significantly influenced by internal area, bathrooms, and garages, whereas in State B, they are influenced by internal area, bedrooms, and bathrooms. The report provides detailed regression results, model equations, and interpretations, concluding with key findings and implications for real estate price prediction in the analyzed regions.