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In a case study involving predicting house prices, which feature would be most r

Practice Questions

Q1
In a case study involving predicting house prices, which feature would be most relevant?
  1. The color of the house
  2. The number of bedrooms
  3. The owner's name
  4. The year the house was built

Questions & Step-by-Step Solutions

In a case study involving predicting house prices, which feature would be most relevant?
  • Step 1: Understand that house prices can be influenced by various factors.
  • Step 2: Identify features that might affect house prices, such as location, size, and number of bedrooms.
  • Step 3: Recognize that the number of bedrooms is a key feature because more bedrooms often mean a higher price.
  • Step 4: Conclude that in a predictive model for house prices, the number of bedrooms is a relevant feature.
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