How can you use data visualization to identify heteroscedasticity in regression models?
Data visualization is a powerful tool to explore and communicate data insights. But it can also help you diagnose potential problems in your regression models, such as heteroscedasticity. Heteroscedasticity means that the variance of the error terms in your regression model is not constant across different values of the predictor variables. This can affect the accuracy and reliability of your model estimates and tests. In this article, you will learn how to use data visualization to identify heteroscedasticity in regression models and what to do if you find it.