How can you tell the difference between a stronger linear association and a weak linear association? A. The data points will be clustered more tightly around the trend line if there is a weak linear association and less tightly if there is a strong one.

B. The data points will be clustered more tightly around the trend line if there is a strong or weak linear association.

C. The data points will be clustered less tightly around the trend line if there is a strong or weak linear association.

D. The data points will be clustered more tightly around the trend line if there is a strong linear association and less tightly if there is a weak one.

85.560%

step-by-step explanation:

conditional probability is defined as:

p(a|b) = p(a∩b) / p(b)

in other words, the probability that a occurs, given that b has occurred = the probability that both a and b occur / the probability that b occurs.

in this example:

p(turns 64 | turns 44) = p(turns 64 & turns 44) / p(turns 44).

if someone turns 64, they must have already turned 44, so:

p(turns 64 | turns 44) = p(turns 64) / p(turns 44)

on page 42, we see that of the original 100,000, 94944 turn 44, and 81234 turn 64.   therefore:

p(turns 64 | turns 44) = 81234 / 94944

p(turns 64 | turns 44) = 0.85560

you need to rotate this triangle about the origin 270 degrees clockwise to create the full square.