To recap, confounding variables are correlated predictors. Leaving a confounding variable from a statistical design will make an included predictor seem falsely insignificant or falsely major. Quite simply, they will totally flip your statistical Investigation final results on its head!
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We’ve thorough the unfavorable components of confounding variables here As well as in my last quite a few posts. Nevertheless, confounding variables have a possible upside. They don’t sound very so threatening when you believe of them as proxy variables, which we’ll include in my following write-up.
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