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The number of times a player has golfed in one's

lifetime is compared to the number of strokes it takes
the player to complete 18 holes. The correlation
coefficient relating the two variables is 0.26.
Which best describes the strength of the correlation,
and what is true about the causation between the
variables?
It is a weak negative correlation, and it is not likely
causal.
O It is a weak negative correlation, and it is likely
causal.
O It is a strong negative correlation, and it is not likely
causal.
O It is a strong negative correlation, and it is likely
causal.


User Mourner
by
3.9k points

2 Answers

3 votes

Answer:

The correct answer is B on edge 2020.

Explanation:

The number of times a player has golfed in one's lifetime is compared to the number-example-1
User Elgoog
by
4.5k points
5 votes

Answer:

It is a weak negative correlation, and it is likely causal.

Explanation:

Correlation coefficient can be said to be a statistical value that shows the relationship between two variables.

Here, the correlation coefficient is 0.26 which means that the magnitude of correlation is low and it causes a weak correlation.

Here, since one variable increases as the other variable decreases, the correlation is said to be negative and weak. We can see that the more a player golf's, the lower the number to required strokes. This would result in a negative slope.

Therefore, It is a weak negative correlation, and it is likely

causal.

User Zeeng
by
4.7k points