Match the pairs of variables with the type of relationship they show. the amount of snowfall
and the number of voters
the number of doctors
and the number of nurses
correlation without causation
correlation with causation
the number of high school seniors
and high school graduates

✔️correlation without causation ➡️ the number of doctors and the number of nurses.

✔️correlation with causation➡️ the number of high school seniors and high school graduates.

Explanation:

The first show doctors and nurses. Actually, doctors and nurses correlate because they are medical personnels and are found in health centers but here, there is no causation among them.

The second talk about the number of high school students and the number of high school graduates. Here, there is a correlation; they are all from high school. But the causation here is that the number of high school seniors determine the number of high school graduates. Therefore, as the number of high school seniors increases, the number of high school graduates increase too.

Correlation without causation talks about the inability to clearly find a cause-and-effect relationship that exists between two variables just on the basis of an observed correlation between them. While in correlation with causation, one can find a cause-and-effect relationship that actually exists between the two variables.

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