How do I choose the right regression model for my data?

How do I choose the right regression model for my data?

Choosing the right regression model depends on the nature of your data and the relationship you want to model. What type of data are you working with?

I have a dataset with both continuous and categorical variables.

In that case, you might consider using multiple linear regression if the relationship is linear. If not, you could explore polynomial regression or even logistic regression for binary outcomes.

What if my data has non-linear relationships?

For non-linear relationships, you could use polynomial regression, decision trees, or even more complex models like random forests or neural networks.

How do I evaluate which model is the best?

You can evaluate models using metrics like R-squared, adjusted R-squared, RMSE, or cross-validation techniques to see how well they perform on unseen data.