In which case(s) should you be suspicious of a correlation that is presented?
A)When the data is likely to contain outliers.
B)When the sample size is small.
C)When removing one point in the data set actually reverses the direction of the trend.
D)All of the above

Question

Quizplus · Accepted Answer

Any of these situations could make a correlation less reliable or misleading, so it's important to be suspicious of correlations presented in these contexts. Outliers can skew the results and make the correlation appear stronger or weaker than it actually is, while small sample sizes can make it difficult to generalize the results to a larger population. Finally, if the trend in the data set changes radically when one point is removed, it suggests that the relationship between the variables may not be as straightforward or causal as it first appeared.

In Which Case(s) Should You Be Suspicious of a Correlation