Several assumptions/conditions need to be satisfied in order to use a simple linear regression model. One might think that this added level of complexity would make regression analysis less likely to be used in practice.
On the contrary, it is widely used by management.
Why do you suppose this is the case? What advantages does simple linear regression have over the other forecasting methods so far?