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To recap, confounding variables are correlated predictors. Leaving a confounding variable from a statistical product can make an incorporated predictor look falsely insignificant or falsely major. To paraphrase, they're able to thoroughly flip your statistical analysis results on its head!

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three. Executing the experiment subsequent the proper experimental protocol and examining the information all over again pursuing the protocol.

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