Determine whether the data show a linear relationship. If so, write an equation of a line of fit. Shoe size, x
6
8
8.5
10
13
Heart rate (bpm), y
112 94
94 100 132 87
The data do not show a linear
relationship
The data show a linear
O relationship; The equation is
y = -3.5x + 133.5.
The data show a linear
O relationship: The equation is
y = -92 + 166.
The data show a linear
O relationship: The equation is
y = -1.95x + 122.5.

idk bring the function back   im not smart

step-by-step explanation:

h/o/e/s mad

step-by-step explanation:

si si si

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