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

ryan gathered data about the age of the different dogs in his neighborhood and the length of their tails. lengths of tails for dogs of different ages age (years) length of tail (in.) 2 12 3 0 6 7 10 4 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. it is a weak negative correlation, and it is likely causal. it is a strong negative correlation, and it is not likely causal. 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. lengths of tails for dogs of different ages age (years) length of tail (in.) 2 12 3 0 6 7 10 4 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. it is a weak negative correlation, and it is likely causal. it is a strong negative correlation, and it is not likely causal. it is a strong negative correlation, and it is likely causal.

Answer

Explanation:

Step1: Analyze data points

We have data points (2, 12), (3, 0), (6, 7), (10, 4). As age increases from 2 - 10, tail - length values do not show a very consistent decrease. There is a large jump from (2, 12) to (3, 0) and then some fluctuations.

Step2: Determine correlation strength

Since the data points do not closely follow a straight - line pattern of decrease, the correlation is weak.

Step3: Consider causation

There is no logical reason to believe that a dog's age directly causes its tail length to change in a consistent way. For example, tail length is more likely determined by breed, genetics etc. rather than just age.

Answer:

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