Project Summary

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    Use attached documents to create an analysis for a manager in layman’s terms. You can break this paper off into sections.

    Only use for references: https://www.kaggle.com/harlfoxem/housesalesprediction

    Intro to build off:

    Home prices vary for many reasons across the United States.  The need to understand what drives these prices can be very important for homeowners as well as home buyers.
    This study is intended to use statistical analysis to assist in determining key drivers  and statistical relationships that impact home sale prices. 
    The data that was gathered from www.Kaggle.com.
    This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015.
    According to Opendoor.com, the best way to predict home prices include:  Comps in the area, home size, age/condition, upgrades, interest rates and other economic indicators (2020)

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