Optimal ratio for data splitting

It is common to split a dataset into training and testing sets before fitting statistical or machine learning model. However, there no clear guidance on how much data should be used for testing. In this article we show that the optimal splitting ratio $\sqrt{p}:1$, where $p$ number of parameters in linear regression model explains well.