How do I validate regression models?

How do I validate regression models?

Validating regression models involves checking their performance using various metrics and techniques. Would you like to know about specific methods?

Yes, what are some common validation techniques?

Common techniques include cross-validation, train-test split, and using metrics like R-squared and RMSE. Do you want details on any of these?

Can you explain cross-validation?

Cross-validation is a technique where the dataset is split into multiple subsets. The model is trained on some subsets and tested on others, helping to ensure it generalizes well to unseen data.

What is R-squared and why is it important?

R-squared measures the proportion of variance in the dependent variable that can be explained by the independent variables. It's important for assessing the goodness of fit of your model.