When one variable directly causes a change in another variable, the relationship is known as?

When one variable directly causes a change in another variable, the relationship is known as?

• A. Causation
• B. Correlation
• C. Hypothesis
• D. Empirical Evidence

Answer: (A)

Causation is the idea that a change in one variable directly brings about a change in another. It involves a direct influence where altering the cause leads to a predictable effect, with attention to temporal order (the cause comes first) and often a mechanism that explains why the change occurs. Correlation, by contrast, means two variables move together but doesn’t prove that one causes the other; there could be a third variable or coincidence at play. A hypothesis is a proposed statement about a relationship to be tested, not the relationship itself. Empirical evidence is the data collected to support or refute claims about relationships, but it isn’t the name of the relationship. So, when one variable directly causes a change in another, the relationship is causation.

Causation is the idea that a change in one variable directly brings about a change in another. It involves a direct influence where altering the cause leads to a predictable effect, with attention to temporal order (the cause comes first) and often a mechanism that explains why the change occurs. Correlation, by contrast, means two variables move together but doesn’t prove that one causes the other; there could be a third variable or coincidence at play. A hypothesis is a proposed statement about a relationship to be tested, not the relationship itself. Empirical evidence is the data collected to support or refute claims about relationships, but it isn’t the name of the relationship. So, when one variable directly causes a change in another, the relationship is causation.