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1.If
we “incorrectly” run a linear regression analysis using the violation of
normal distribution of the outcome variable, it appears that “x” is a
strong predictor of “Y” (p-value of 0.008), and with a correlation
coefficient of 0.57.
2.This
incorrect use of linear regression analysis can result in substantial
misinterpretation of results.
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