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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?

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.


its B

Respuesta :

Gasaqui

Answer:

The option B

Step-by-step explanation:

The  weak correlation rank is between 0,25 and 0,5

The correlation is 0,26,  which mean that 26 per cent of the variation is caused for set x

JeanaShupp

Answer:  A. It is a weak negative correlation, and it is not likely causal.

Step-by-step explanation:

Given : 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.

It means there is correlation . But there it is not likely causal because one  thing is not causing other.

The correlation coefficient relating the two variables is -0.26.

We know that when the absolute value of correlation coefficient lies between 0.1 to 0.3, then it indicates that there is weak association.

The absolute value of given correlation coefficient (0.26) lies between 0.1 to 0.3, therefore, it shows weak correlation.

Also, it has negative sign , so it must indicate a weak negative correlation.

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