When should I use non-linear models in data analysis?

When should I consider using non-linear models instead of linear models?

You should consider non-linear models when the relationship between your variables is not adequately captured by a straight line.

Can you give me an example of a situation where a non-linear model is better?

Sure! For instance, if you're modeling population growth, a logistic growth model is non-linear and better represents the data than a linear model.

What types of non-linear models are commonly used?

Common non-linear models include polynomial regression, decision trees, and neural networks, each suited for different types of data.

How do I know if my data requires a non-linear approach?

You can use visualizations like scatter plots to check for patterns, or statistical tests to assess the fit of linear vs. non-linear models.