Prediction intervals are a powerful tool for understanding the uncertainty of your predictions. They allow you to specify a range of values within which you are confident that the true value will fall. This can be useful for many tasks, such as setting realistic goals, making informed decisions, and communicating your findings to others.
In this blog post, we will show you how to create a prediction interval in R using the
mtcarsdataset is a built-in dataset in R that contains information about fuel economy, weight, displacement, and other characteristics of 32 cars.
Click through to see an example based on linear regression.