Question:
Prediction of house prices in a city depends on factors such as the number of bedrooms, size of the house (square footage), location and age of the property. Which analysis technique is appropriate for this scenario?
Prediction of house prices in a city depends on factors such as the number of bedrooms, size of the house (square footage), location and age of the property. Which analysis technique is appropriate for this scenario?
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More than one predictor? Use multivariate analysis.
Updated On: Jul 9, 2025
- Univariate
- Zerovariate
- Multivariate
- Both Univariate and Multivariate
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The Correct Option is C
Solution and Explanation
When a problem involves predicting a target variable using multiple input factors, the appropriate approach is multivariate analysis.
In this scenario, predicting house prices depends on several features such as the number of bedrooms, house size, location, and property age.
All these independent variables together affect the target value (house price).
Univariate analysis involves analyzing only one variable at a time, which is not suitable for this type of prediction.
Zerovariate is not a standard analysis term.
Therefore, option (C) Multivariate analysis is the correct choice here.
In this scenario, predicting house prices depends on several features such as the number of bedrooms, house size, location, and property age.
All these independent variables together affect the target value (house price).
Univariate analysis involves analyzing only one variable at a time, which is not suitable for this type of prediction.
Zerovariate is not a standard analysis term.
Therefore, option (C) Multivariate analysis is the correct choice here.
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