Statistical Modeling; Selecting Predictors is a Challenge for Data Scientists

For statistical models, selecting those predictors is what tests the steel of data scientists. It is really challenging to lay out the steps, as for every step, they should evaluate the situation and make decisions for the next or upcoming steps. It is a completely different story when running predictive models, and if relationship among the variables is not the main focus, situations get easier. Data analysts can go ahead to run step-wise regression models, empowering the data to give best predictions. However; if the main focus is on answering research questions that describe relationships, it can give analysts a really tough time.