• GAo to www.realtor.com
  • Search on a ‘city’ of your choosing (pick one that is different from other students).
  • Filter on HOUSES with a PRICE between $250K and $450K
  • Find 25 houses that provide: PRICE, BD (bedrooms), BA (bathrooms), SQ FT (square footage), CAR (car size of garage).
  • Take screen shots of the houses and past them in ExceL
  • Construct and interpret a correlation matrix for your data.
  • Show the stepwise process of determining the best regression model to predict PRICE. EXPLAIN the process as you move from the full model to your final model.
  • Using your final model, select values for the independent variables and predict the house’s sales price.

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