![]() Naturally it’s relevant to what we’re doing. But “control” is the most common way of saying it. 190 190 Saying we “adjust” for those variables, rather than control for them, is probably more accurate, since we don’t actually have control of anything here as we would in a controlled experiment. When it comes to identifying causal effects, regression is the most common way of estimating the relationship between two variables while controlling for others, allowing you to close back doors with those controls. Using one variable to explain variation in another is a key part of what we’ve been doing the whole book so far! Regression is the most common way in which we fit a line to explain variation.
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