Consider the following time series data.
week 1 2 3 4 5 6
value 20 14 16 10 17 13
using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy.
a. mean absolute error. if required, round your answer to one decimal place.

b. mean squared error. if required, round your answer to one decimal place.

c. mean absolute percentage error. if required, round your intermediate calculations and final answer to two decimal places.

%
d. what is the forecast for week 7? if required, round your answer to two decimal place.

geometric series converge the common ratio r has magnitude less than one.

which is equivalent to

for the example we need

|2-x| < 1

-1 < 2-x   and 2-x < 1

x < 3 and x > 1

we can write that

answer: 1 < x < 3

1a. common ratio r=250/25=10 > 1     diverges

1b.   r=50/100=1/2 converges

when these converge they converge to

where a is the first term.

answer: 200

1c. r=-1   so it's not the case that |r| < 1.     diverges

2a. x is the common ratio so we converge when |x|< 1

2b.   r=-10x / -2 = 5x.

we converge when

|5x| < 1

|x| < 1/5

2c.   r=3-2x

-1 < 3-2x and 3-2x < 1

-4 < -2x and 2 < 2x

x < 2 and 1 < x

1 < x < 2

2d. [/tex] r=-48x^3/12 = 4x^3[/tex]

|4x^3| < 1

|x^3| < \frac 1 4

|x| < 4^{-1/3}

answer: idk wbu

step-by-step explanation: umm..

just took the test and my answers down below!

step-by-step explanation:

check the pic :