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In the dataset duke_forest_for_homework.xlsx, we have the following seven columns/variables for a dataset gathered from Zillow in November of 2020 for listed homes in the
In the dataset "duke_forest_for_homework.xlsx", we have the following seven columns/variables for a dataset gathered from Zillow in November of 2020 for listed homes in the Duke Forest neighborhood of Durham, North Carolina:
Column name | Description |
Price ($1000s) | Price of the house (in $1000s) |
Bath | Number of bathrooms |
Area | Area of the house (in square feet) |
Lot | House lot size (in acres) |
Central_cooling | 1 if the house has central cooling and 0 if not |
Bed | Number of bedrooms |
Heat_pump | 1 if the house has a heat pump and 0 if not |
- What is the equation for predicting price according to this new regression?
- Between the regression in problem 2 and this new regression in problem 3, which do you prefer, and why? (Hint: There are two main reasons why one is better)
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