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.

Question

Kallie Walker

Mathematics

29 June, 01:47

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.

+4

Answers (2)

Know the Answer?

Sanaa · Answer 1

Step-by-step explanation:

dfrty

Angelique Payne · Answer 2

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.