Question:medium
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?
Show Hint
More than one predictor? Use multivariate analysis.
Updated On: Jan 14, 2026
- Univariate
- Zerovariate
- Multivariate
- Both Univariate and Multivariate
Show Solution
The Correct Option is C
Solution and Explanation
When predicting a target variable using multiple input factors, multivariate analysis is the suitable method. For instance, predicting house prices involves several features like the number of bedrooms, house size, location, and property age. These independent variables collectively influence the target value (house price). Univariate analysis, which examines one variable at a time, is not appropriate for this type of prediction. "Zerovariate" is not a recognized analytical term. Consequently, option (C) Multivariate analysis is the correct selection.
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