! Ryan gathered data about the age of the different dogs in his neighborhood and the length of their tails. A 2-column table with 4 rows. The first column is labeled age (years) with entries 2, 3, 6, 10. The second column is labeled length of tail (inches) with entries 12, 0, 7, 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.

associative property hopes this ! : )

step-by-step explanation:

a

step-by-step explanation:

the answer is y < -3 or   y > 3

-3y > 7 + 2

-3 y > 9

y < -3

when rotating a figure 180 degrees, imagine that you are able to take the figure and turn it clockwise or counterclockwise around a center point. to rotate a figure 180 degrees, you will need to apply the rule (x, y) → (-x, -y). start by using a coordinate grid with coordinates for each vertex of the figure. the center point of the coordinate grid is located at (0, 0), which is what you will rotate the figure around. write down the original coordinates of the shape you are going to rotate. then, apply the rule. for example, coordinate (1, 2) becomes (-1, -2). another example would be, coordinate (-4, -2) becoming (4, 2). after you change each original coordinate to the rotated coordinate, you will draw your new figure.

step-by-step explanation: