The problem with heteroscedasticity is that researchers tend to be underconfident,i.e.they must make statements as if the data is worse than it actually is.

Name: The problem with heteroscedasticity is that researchers tend to be underconfident,i.e.they must make statements as if the data is worse than it actually is.
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The problem is just the reverse; researchers tend to state more certainty of the results than they should when heteroscedasticity is present.

The Problem with Heteroscedasticity Is That Researchers Tend to Be