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.

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

Step-by-step explanation:

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

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.

second option

step-by-step explanation:

the measures of a triangle equal 180. use that to find x.

2x+3x+4x=180

9x=180

9x/9=180/9

x=20

now you know x, you know angle a is 40°, angle b is 60°, angle c is 80°.

because angle a is 40°, the first option doesn't work.

because angle b is 60°, the second option does work.

when you add angle a and b, you get 100°. complementary means it equals 90°, so the third option doesn't work.

when you add angle a and c, you get 120°, which is not 100.

jwjeh; hw; kjhekjhkjhwkejhkw

step-by-step explanation: