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Dec 24, 2019 in Data Science
Q: What Are Confounding Variables?

1 Answer

Dec 24, 2019

In statistics, a confounder is a variable that influences both the dependent variable and independent variable.

For example, if you are researching whether a lack of exercise leads to weight gain,

lack of exercise = independent variable

weight gain = dependent variable.

A confounding variable here would be any other variable that affects both of these variables, such as the age of the subject.

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