Ascatter plot with a line is shown: 15
14
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0 1 2
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Which statement is most likely correct about the line?
It can be a line of best fit because it is close to most data points.
It can be a line of best fit because it passes through all the data points.
lIt cannot be a line of best fit because it is not close to most of the points.
It cannot be the line of best fit because it does not show a positive association.

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

a

step-by-step explanation:

k

step-by-step explanation:

domit