Project Scenario
A data analyst working for a real estate company has access to a large set of historical data to analyze relationships between a house’s attributes (such as square footage or the number of bathrooms) and the house’s selling price.
Different regression models were created to predict sale prices for houses based on critical variable factors. These regression models will help the real estate company set better prices when listing a home for a client. Setting better prices will ensure that listings can be sold within a reasonable amount of time.