The only example that I can think of is comparing the number of years that each employee has been with the company and their job titles. This would allow you to view multiple samples and I would say that in my company as the number of years increase our job titles and pay increase as well. From a managerial experience, they could easily look to see how long an employee has been with the company and assign them an additional workload if necessary. Managers are able to look at the relationship between both variables and how they affect one another. If certain performances or results are not meeting expectation, adjustments and changes can be made where necessary. Regression allows us to understand the impact of different variables on a particular outcome. I would say that an example of regression would be in our sales department. If our company is constantly changing the price of our conference and video calls, then we could record the amount the product sells for each time the price is changed. The amount sold would be the dependent variable and price they are sold for would be the explanatory variable.
