The data set represents a progression of hourly temperature measurements. Use a graphing calculator to determine the quadratic regression equation for this data set
O 1 2 3
5
у 20 16 10 0 -7 -20
X
4
ay-0.795x2 + 3 796% + 20.130
b. y -0.7957-3760% + 20.120
C. y -0.8757 -3.9962 + 20.179
dy-0.7957 - 3.7962 * 20.120

its the second choice.

step-by-step explanation:

the elements in the range will be 7 less than the elements in the domain.

idk

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.