What term describes a relationship between two variables?

What term describes a relationship between two variables?

• A. Correlation
• B. Causation
• C. Regression
• D. Sampling

Answer: (A)

Two variables can be related in various ways. Correlation describes that relationship and tells us whether they move together: a positive correlation means they rise together, a negative correlation means one goes up while the other goes down, and the strength shows how tightly the values track each other. It’s usually summarized with a correlation coefficient that ranges from -1 to 1. Remember, correlation does not establish that one variable causes the other to change; the association could be due to a third factor or just coincidence. If you need to predict one variable from another, you’d use regression to model the likely relationship, whereas sampling is about how you select participants or observations for study and doesn’t describe the relationship between variables.

Two variables can be related in various ways. Correlation describes that relationship and tells us whether they move together: a positive correlation means they rise together, a negative correlation means one goes up while the other goes down, and the strength shows how tightly the values track each other. It’s usually summarized with a correlation coefficient that ranges from -1 to 1. Remember, correlation does not establish that one variable causes the other to change; the association could be due to a third factor or just coincidence. If you need to predict one variable from another, you’d use regression to model the likely relationship, whereas sampling is about how you select participants or observations for study and doesn’t describe the relationship between variables.