Which of the following statements is false regarding the naïve, moving average, and exponential smoothing methods?

(a) they fail to detect long-term trends in the data.
(b) they fail to detect seasonal variation in the data.
(c) they can create a forecast that is higher than any of the previously realized demand values.
(d) they are backward looking.

hi there!

first we need to find out how much they are adding to each number to make the next number.

ex: 4 + 4 = 8, 8 + 8 = 16, and so on.

so continuing with 32,

32 + 32 = 64

64 + 64 = 128

128 + 128 = 256

256 + 256 = 512

4, 8, 16, 32, 64, 128, 256, 512

the 8th term of the sequence will be 512

hope this ! ~

the answer is 0.000652422

but if you ment to ask what is 6131 divided by 4, it is 1532.75.

step-by-step explanation:

wow ok so the answer is 1k or just k

because of combining like terms xd

i think its 7.6

if so your welcome