Question

Pearson's correlation coefficient is strongly affected by the presence of ___?

1) outliers
2) missing data
3) nonlinear relationship
4) all of the above

Answer 1

Pearson's correlation coefficient is strongly affected by outliers.

Step-by-step explanation:

Pearson's correlation coefficient is strongly affected by the presence of outliers. An outlier is a data point that deviates significantly from the other data points in a dataset. Since Pearson's correlation coefficient measures the linear relationship between two variables, the presence of outliers can distort the correlation and make it less accurate.