Which best describes the relationship between correlation and causation? A . If a correlation exists between two variables, causation can never exist between the two variables.
B . If a correlation exists between two variables, causation must exist between the two variables.
C . The existence of a correlation does not imply a causation between two variables.
D .There is no relationship between correlation and causation.

0.16 or 16%

step-by-step explanation:

lets take a coin for example.

if you toss it twice, it has a 1/4 chance of landing on heads both times because 1/2 * 1/2 is 1/4.

with the cards, the chance of picking dog is 0.4. having two people pick one is like picking a card twice in a row. so 0.4 * 0.4 is 0.16, or 16%

the least value out of the data shown is 5, maybe if you post a picture with it i could a little more.

step-by-step explanation: