What is worthless regression?

Worthless regression is a statistical phenomenon that occurs when the results of a regression analysis are deemed to be of no value or significance due to a number of factors. This can happen for a variety of reasons, such as when the model used for the analysis is poorly specified, or when the data used for the analysis is not reliable or accurate. Other common issues that can lead to worthless regression include small sample sizes, lack of variability in the data, and inappropriate selection of variables for the model. In general, worthless regression results can be frustrating for researchers, as they can waste time and resources without providing any meaningful insights or solutions. To avoid worthless regression, it's important to carefully select the appropriate variables for the model, use reliable and representative data sets, and ensure that the model is well-specified and appropriate for the particular analysis in question.