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1. Regression analysis can be used to predict house prices based on features like square footage and number of bathrooms. 2. Multiple linear regression finds the best fitting hyperplane to predict the target variable (house price) based on multiple input features. 3. More complex regression models can be created by adding polynomial terms or additional features but risk overfitting the training data. Model complexity must be chosen carefully.

Author

Nayyer Aafaq

Language

EN