ryan gathered data about the age of the different dogs in his neighborhood and the length of their…

ryan gathered data about the age of the different dogs in his neighborhood and the length of their tails.\nlengths of tails for dogs of different ages\n| age (years) | length of tail (in.) |\n| ---- | ---- |\n| 2 | 12 |\n| 3 | 0 |\n| 6 | 7 |\n| 10 | 4 |\nwhich best describes the strength of the correlation, and what is true about the causation between the variables?\no it is a weak negative correlation, and it is not likely causal.\no it is a weak negative correlation, and it is likely causal.\no it is a strong negative correlation, and it is not likely causal.\no it is a strong negative correlation, and it is likely causal.

ryan gathered data about the age of the different dogs in his neighborhood and the length of their tails.\nlengths of tails for dogs of different ages\n| age (years) | length of tail (in.) |\n| ---- | ---- |\n| 2 | 12 |\n| 3 | 0 |\n| 6 | 7 |\n| 10 | 4 |\nwhich best describes the strength of the correlation, and what is true about the causation between the variables?\no it is a weak negative correlation, and it is not likely causal.\no it is a weak negative correlation, and it is likely causal.\no it is a strong negative correlation, and it is not likely causal.\no it is a strong negative correlation, and it is likely causal.

Answer

Explanation:

Step1: Analyze data trend

As age increases (2, 3, 6, 10), tail - length (12, 0, 7, 4) does not show a very clear and consistent decrease. So the correlation is weak.

Step2: Consider causation

There is no logical reason to believe that a dog's age directly causes its tail - length to change in a particular way. So it is not likely causal.

Answer:

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