Asking Price (in thousand dollars)

Size (sq. ft)

One of the biggest factors in determining the value of a home is the size. The
following data represent the size of the home (square feet) and asking price (in
thousands of dollars) for a random sample of homes for sale in a particular city.

What is the predictor variable?

A. Age
B. Asking Price
C. Size
D. Zip code

f(x) = y

f(-3) = -5

step-by-step explanation:

what am i looking for finish the question.

step-by-step explanation:

irst, find the z score of a score of 80. this is given by the formula z = (x-u)/o, where x is the score, u is the mean, and o is the standard deviation. this gives

z = (80-78)/12 = 1/6 = .1667

now, find what percentile a z score of 1/6 correlates to in the normal distribution.

a z score of 1/6 = .1667 is equivalent to the 56.36th percentile of the distribution. so the probability a score is over this is 1-.5636 = .4364

the mean of a sample mean is equal to the original mean. however, the standard deviation of a sample mean is equal to the original standard deviation divided by the square root of n (sample size). so the new standard deviation is 12/sqrt(16) = 3.

the new z score is 80-78/3 = 2/3 = .667. this is equivalent to the 74.86th percentile. so the probability that the mean will be greater than this score is 1-.7486 = .2514.