What is the dependent variable when predicting house selling prices based on multiple features?

What is the dependent variable when predicting house selling prices based on multiple features?

• A. Number of bedrooms
• B. Square footage
• C. Garage availability
• D. Selling price of a house

Answer: (D)

In the context of predicting house selling prices using multiple features, the dependent variable refers to the outcome or the variable that you are trying to predict. In this scenario, the dependent variable is the selling price of a house. This variable is influenced by various independent variables or features such as the number of bedrooms, square footage, and garage availability. These independent variables can affect the selling price in different ways; for example, more bedrooms or greater square footage typically lead to higher prices. However, the selling price itself is what you are ultimately aiming to determine through your analysis. Thus, understanding that the selling price is dependent on the values of the other features provided is crucial. This relationship is fundamental to predictive modeling in statistical analysis and real estate market research.

In the context of predicting house selling prices using multiple features, the dependent variable refers to the outcome or the variable that you are trying to predict. In this scenario, the dependent variable is the selling price of a house. This variable is influenced by various independent variables or features such as the number of bedrooms, square footage, and garage availability.

These independent variables can affect the selling price in different ways; for example, more bedrooms or greater square footage typically lead to higher prices. However, the selling price itself is what you are ultimately aiming to determine through your analysis. Thus, understanding that the selling price is dependent on the values of the other features provided is crucial. This relationship is fundamental to predictive modeling in statistical analysis and real estate market research.