The difference between correlation and causation is that correlation that there is a pattern or association between the values of two variables. Causation is a direct causal link between two variables. The way you organized linear regression is to make decisions by using data to better manage reality, and to evaluate trends and make estimates or forecasts. Another way is to analyze the impact of prices changes. Some examples of linear regression are Risk Assessment for insurance, and another is economic studies