To recap, confounding variables are correlated predictors. Leaving a confounding variable away from a statistical model could make an incorporated predictor look falsely insignificant or falsely important. In other words, they're able to totally flip your statistical Examination results on its head!
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Enable’s function by way of an illustration and find out how it combats confounding variables. Take the biomechanics analyze where we planned to see Should the leaping physical exercise (treatment group) developed increased bone density compared to group that didn’t soar (Management group).
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