True or False: Pearson's correlation can establish a cause-effect relationship between two variables.

Pearson's correlation measures the strength and direction of the linear relationship between two variables, producing a value known as the correlation coefficient (r). However, it does not imply causation. A strong correlation may suggest a relationship exists, but it does not confirm that one variable causes the changes in another.

Understanding that correlation does not equate to causation is critical in statistical analysis; other factors, variables, or confounding influences may contribute to any observed relationship. Consequently, the assertion is false, as Pearson's correlation cannot establish a cause-effect relationship, reinforcing the choice that the correct answer is "B".