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 met
hod (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.
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.
So if Charlie only has $27 to spend and hes already buying $3 kid's meal that leaves him with $24 to spend for 6 sandwiches. If you divide 6 by 24, 24/6 leaves him with $4 to spend on each sandwich.
