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Which of the following is not a data limitation that can undermine the credibility or usefulness of regression analysis?

a) Multicollinearity
b) Heteroscedasticity
c) Randomization
d) Outliers

User Pjf
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1 Answer

4 votes

Final answer:

Randomization is not a data limitation that undermines the credibility or usefulness of regression analysis.

Step-by-step explanation:

In regression analysis, the following options are all data limitations that can undermine the credibility or usefulness of the analysis: multicollinearity, heteroscedasticity, and outliers. Randomization, on the other hand, is not a data limitation that undermines the credibility or usefulness of regression analysis. Randomization is a method used in experimental design to minimize bias and ensure that the treatment and control groups are comparable.

User David Cournapeau
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