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?

A. It is a weak negative correlation, and it is not likely causal.
B. It is a weak negative correlation, and it is likely causal.
C. It is a strong negative correlation, and it is not likely causal.
D. It is a strong negative correlation, and it is likely causal.

The graph provided has all the information need to answer the question.

Option A: it is a weak negative correlation and it is no likely causal.
Generaly speaking, correlation means that the variable moves in a related way but not that there is causation relationship.
A perfect relationship is when the coefficient is +1 or -1. A correlation of 0 means no relation at all.
0.26 is closer to zero than to 1, so the correlation is weak

This is the correct answer

Hope this helps

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ewomazinoade ewomazinoade · Answer 2 · 2022-04-25T17:39:52+02:00

The option that best describes the relationship is a weak negative correlation, and it is likely causal.

What does a negative correlation mean?

Correlation is used to measure the relationship that exists between two variables in statistics. A value of 1 sigifies perfect correlation and a value of 0 sigifies zero correlation.

Negative correlation is when as one of the variable increases, the other variable decreases. When there is a negative correlation, the graph of the variables is downward sloping

To learn more about negative correlation, please check: https://brainly.com/question/27246345