Question: What is the purpose of cross-validation in the context of linear regression?

Options:

1. To increase the number of features
2. To assess the model\'s performance on unseen data
3. To reduce the training time
4. To improve the model\'s accuracy

Correct Answer: To assess the model\'s performance on unseen data

Solution:

Cross-validation is used to assess how the results of a statistical analysis will generalize to an independent data set, helping to evaluate model performance.