University Analysis of Real Estate Prices in States A and B (ACC73002)

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Added on  2022/11/30

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AI Summary
This report analyzes the real estate market in non-capital cities and towns within States A and B, aiming to predict house and unit prices using data provided by Safe-As-House Real Estate. The analysis encompasses data collection, manipulation, and descriptive statistics to understand the characteristics of properties. Multiple regression models are developed to estimate house and unit prices in both states. The results reveal that the accuracy of house price prediction is 42.97% and 50.47% for State A and State B, respectively. Unit price prediction accuracy is 54.64% for State A and 25.9% for State B. Key variables influencing prices include internal area, number of bedrooms, bathrooms, and garages. The report concludes with recommendations based on the findings, offering insights into the factors that significantly impact real estate valuations within the specified regions.
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