Twenty different statistics students are randomly selected. for each of them, their body temperature (degreesc) is measured and their head circumference (cm) is measured. if it is found that requals0, does that indicate that there is no association between these two variables? choose the correct answer below. a. no, because if requals0, the variables are in a perfect linear relationship. b. no, because while there is no linear correlation, there may be a relationship that is not linear. c. no, because r does not measure the strength of the relationship, only its direction. d. yes, because if requals0, the variables are completely unrelated.

the answer   is 200

step-by-step explanation:

this is a problem about poisson probabilities.   i don't know if you've

already studied poisson distributions, or if you have a place to look

to read more about the subject.  

here's how you can see a poisson distribution coming.   when there are

a lot of events that may happen at any time (or any place), and when

you're counting how many of them happen at a particular time (or a

particular place), and each event is independent of the others, then

the result is a poisson distribution.   this is roughly true for the

chocolate chips; one chip being in a cookie has only a small effect on

the probability that another chip will be in the cookie.

once you know you have a poisson distribution, you know a lot.   there

is only one parameter to a poisson distribution, so if you know the

mean, you know everything.   the form of the distribution is

  probability of n chips = {[e^(-x)]*(x^n)} / (n! )

answer: 1) twenty-seven times y

              2) twenty-seven multiplied by y

take it another

5x + 5

step-by-step explanation:

you should always add the diagrams and graphs we cannot see. this particular question is kind of borderline because we can make a graph for you.

(f + g)x = -x^2 +3x + 5 + x^2 + 2x

(f + g)x = 5x + 5

the graph of z = 5x + 5 is shown below. always use desmos when in doubt.