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Golf and Divorce

Alignments to Content Standards: S-ID.C.9


Researchers have noticed that the number of golf courses and the number of divorcees in the United States are strongly correlated and both have been increasing over the last several decades. Can you conclude that the increasing number of golf courses is causing the number of divorcees to increase?

Either justify why a causation can be inferred, or explain what might account for the correlation other than a causal relation.

IM Commentary

This is a simple task addressing the distinction between correlation and causation. Students are given information indicating a correlation between two variables, and are asked to reason out whether or not a causation can be inferred. The task would be well-suited either as an introduction to this distinction, or as an assessment item.


No, we cannot conclude that the increasing number of golf courses is causing the number of divorcees to increase. In general, correlation does not imply causation.

There are a number of factors that may be increasing the number of golf courses and a number of factors causing the rise in number of divorcees. These factors may be (and are often) different. For example, there might be a rise in the popularity of the sport of golf that is in part causing the increase in the number of golf courses. However, the number of divorcees might be increasing due in part to the relative ease with which one can obtain a divorce now as opposed to, say, 10 years ago.

There may even be some global factors that are causing both numbers to increase, for example the rise in global population (i.e., there are more people on the planet earth, period). However, this rise in population would not necessarily create a link between the sport of golf and divorcees.

kjenks says:

about 5 years

In order for this task to be usable in a class, data should be provided to use with students.

Cam says:

about 5 years

Hi kjenks,

Thanks for your comment. Can you elaborate? It seems to me that a perfectly good discussion of correlation vs. causation could occur without explicit data. In fact, I'd wonder if explicit data might actually distract from the issue at hand, causing students to worry about, e.g., the strength of the correlation itself.

Edit: Ah, perhaps the commentary suggesting explicit data had been given was the motivation for this comment. I've modified the commentary to make it more clear that just the existence of the correlation is given to the students, and not the raw data used to draw that conclusion.