Using regression modeling and statistics learned in this phase, we were to analyze house sales in a northwestern county creating our business problem and choosing which data to use from the data set to answer our business problem.

This project uses the King County House Sales dataset from 2014 -2015. Each row representing a house sale.

The dataset contained some of the following columns:

• date
• view
• sqft_above
• sqft_basement
• yr_renovated
• zipcode
• lat
• long
• sqft_living15
• sqft_lot15

Libraries used included:

• Python
• Matplotlib
• Seaborn
• Pandas
• Numpy
• Statsmodels
• Scipy

Using regression analysis, how can home renovations increase the estimated value of a home and by what amount.