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.

A is correct

Answer 2

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

Explanation:

The 2-column table shows the age and length of tail:

`\left[\begin{array}{cc}Age\ (years)&Length\ of\ tail\ (inches)\\2&12\\3&0\\6&7\\10&4\end{array}\right]`

As age goes up in the first column, length of tail fluctuates up and down in the second column. By graphing it on a scatter plot, it becomes more obvious that there is only a weak correlation.

The weak correlation suggests there is likely no causation between the variables.