Answer:
Step-by-step explanation:
Problem 6-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6 Value 20 13 15 11 17 14 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. Mean absolute error. If required, round your answer to one decimal place. Mean squared error. If required, round your answer to one decimal place. Mean absolute percentage error. If required, round your intermediate calculations and final answer to two decimal places. % What is the forecast for week 7? If required, round your answer to two decimal place.
Answer:
40%
Step-by-step explanation:
16/40 × 100 = 40%
16 divided by 40 multiplied by 100 will give you your answer which is 40
Percent error=|

| times 100
(note the || is absolute value, means that whatever the result is inside, it is made positive)
predicted value=261
actual value=293
subsitute
percent error=|

| times 100
so using pemdas
do parenthasees first
|

|
|-0.12|
absolute value
0.1226
time 100
0.1226 times 100=12.26
answer is 12.26%
answer is B
Answer:
25
Step-by-step explanation:
Theres a ratio of 1:4
Where Jamie has driven 4 times as much as Rhonda
meaning that you can plug in values, 1:4=125
the 4 represents Jamie since she drove farther than rhonda
Rhonda drove 25 miles, and Jamie drove 100 miles
25(4)+25=124