Linear Regressions for Causal Conclusions

An easy and yet powerful tool for decision making

I suppose most of us have heard the statement “correlation doesn’t imply causation” multiple times. It often becomes a problem for analysts since we frequently can see only correlations but still want to make causal conclusions.

Let’s discuss a couple of examples to understand the difference better. I would like to start with a case from everyday life rather than the digital world.

In 1975, a vast population …

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