Question

1. when two variables are related but one doesnt cause the other, this describes what relationship? a. significance b. correlation c. causation d. bias

Explanation:

• Significance: Refers to whether a result is likely not due to chance, not about a non - causal relationship between variables.
• Correlation: Measures the relationship between two variables. It shows how they move together (e.g., positive or negative association), but does not imply that one variable causes the other.
• Causation: Means one variable directly causes a change in the other variable. But the question states “one doesn't cause the other”.
• Bias: Is a systematic error in sampling or measurement, not related to the described non - causal relationship between variables.

Answer:

B. Correlation