Use the REGRESSION feature on a graphing calculator. The paired data below consists of the temperature on randomly chosen days and the amount a certain kind of plant grew (in millimeters). Find the linear function that predicts a plant's growth as a function of the temperature. Round the coefficients in the function to two decimal places.

sorry not sure

step-by-step explanation:

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

there is nothing below so i cannot

step-by-step explanation:

answer: 0.64

step-by-step explanation: