Question

Ryan gathered data about the age of the different dogs in his neighborhood and the length of their tails. 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 1

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

Step-by-step explanation:

Answer 2

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

Step-by-step explanation:

Find enclosed the picture with the graph representing the data about the age of the different dogs in Ray's neighborhood and the length of their tails.

The strength of the correlation is how well the data fits to a linear model. The line of best fit to those four data cannot predict most of the data closely because they do not follow a clear pattern but they vary randomly: up, down, up, down, and far from a straight line.

That means, that the correlation is weak.

Also, the correlation is not likely causal, because you cannot assert that the length of the tail is due to the age of the dog, but to some other cause, for instance the breed and, might be, the custom or tendency to cut off their tails.