0.0/0.8 points (graded) Brandon Washington is the operations manager for the call center 79-Cents-Joke a call center that tells a random, high-quality joke to the caller for the very reasonable rate of 79 cents -- has contacted you after hearing about your expertise in forecasting. Forecasting the number of incoming calls is crucial to the call center. With its current model, staffing is the single largest cost to the call center, and staffing levels are always set based on the forecasted number of calls. "For us", the manager explains, "good forecasting is not a joke!" Staffing levels can be adjusted every 4 hours. The call center is operating from 6 pm to 6 am, so there are three 4-hour-blocks every day. The following data shows the number of incoming calls over these 4-hour-blocks for seven days: Data. Note that the first period in the data (Period 1) is the 4-hour block from 6 pm to 10 pm. As you know from before, it is always a good idea to graph the data to get an understanding of possible patterns. Graph the historical number of incoming calls. What do you notice? Select the best answer There seems to be a slow decrease in the demand for jokes over the phone The waiting time to hear a joke over the phone is more than 5 minutes on average Jokes over the phone seem to be more popular around midnight than early evening or early morning There is no noticeable pattern in the data Submit You have used 0 of 2 attempts Part 2 0.0/0.8 points (graded) Brandon Washington wants you to start with a simple model that can be easily extended. Build a simple exponential smoothing model for the call center's incoming calls. Use an alpha value of 0.25. Assume that the forecast for period 1 is 0,1 = 939. What is your forecast for next 4-hour block's (for t=22) number of incoming calls? (Round your answer to the nearest whole number.) What is the Mean Absolute Percentage Error (MAPE) of the forecast for the given data, as measured from the forecast for period 1 to the forecast made in period 21? Answer in percent without the percentage symbol, e.g. if your answer is 24.5% write 24.5.
0.0/0.8 points (graded) Brandon Washington is the operations manager for the call center 79-Cents-Joke a call center that tells a random, high-quality joke to the caller for the very reasonable rate of 79 cents -- has contacted you after hearing about your expertise in forecasting. Forecasting the number of incoming calls is crucial to the call center. With its current model, staffing is the single largest cost to the call center, and staffing levels are always set based on the forecasted number of calls. "For us", the manager explains, "good forecasting is not a joke!" Staffing levels can be adjusted every 4 hours. The call center is operating from 6 pm to 6 am, so there are three 4-hour-blocks every day. The following data shows the number of incoming calls over these 4-hour-blocks for seven days: Data. Note that the first period in the data (Period 1) is the 4-hour block from 6 pm to 10 pm. As you know from before, it is always a good idea to graph the data to get an understanding of possible patterns. Graph the historical number of incoming calls. What do you notice? Select the best answer There seems to be a slow decrease in the demand for jokes over the phone The waiting time to hear a joke over the phone is more than 5 minutes on average Jokes over the phone seem to be more popular around midnight than early evening or early morning There is no noticeable pattern in the data Submit You have used 0 of 2 attempts Part 2 0.0/0.8 points (graded) Brandon Washington wants you to start with a simple model that can be easily extended. Build a simple exponential smoothing model for the call center's incoming calls. Use an alpha value of 0.25. Assume that the forecast for period 1 is 0,1 = 939. What is your forecast for next 4-hour block's (for t=22) number of incoming calls? (Round your answer to the nearest whole number.) What is the Mean Absolute Percentage Error (MAPE) of the forecast for the given data, as measured from the forecast for period 1 to the forecast made in period 21? Answer in percent without the percentage symbol, e.g. if your answer is 24.5% write 24.5.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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not use ai please
Transcribed Image Text:0.0/0.8 points (graded)
Brandon Washington is the operations manager for the call center 79-Cents-Joke a call center
that tells a random, high-quality joke to the caller for the very reasonable rate of 79 cents -- has
contacted you after hearing about your expertise in forecasting. Forecasting the number of incoming
calls is crucial to the call center. With its current model, staffing is the single largest cost to the call
center, and staffing levels are always set based on the forecasted number of calls. "For us", the
manager explains, "good forecasting is not a joke!"
Staffing levels can be adjusted every 4 hours. The call center is operating from 6 pm to 6 am, so
there are three 4-hour-blocks every day. The following data shows the number of incoming calls
over these 4-hour-blocks for seven days: Data.
Note that the first period in the data (Period 1) is the 4-hour block from 6 pm to 10 pm.
As you know from before, it is always a good idea to graph the data to get an understanding of
possible patterns. Graph the historical number of incoming calls. What do you notice?
Select the best answer
There seems to be a slow decrease in the demand for jokes over the phone
The waiting time to hear a joke over the phone is more than 5 minutes on average
Jokes over the phone seem to be more popular around midnight than early evening or early
morning
There is no noticeable pattern in the data
Submit
You have used 0 of 2 attempts
Part 2
0.0/0.8 points (graded)
Brandon Washington wants you to start with a simple model that can be easily extended.
Build a simple exponential smoothing model for the call center's incoming calls. Use an alpha value
of 0.25. Assume that the forecast for period 1 is 0,1 = 939.
What is your forecast for next 4-hour block's (for t=22) number of incoming calls? (Round your
answer to the nearest whole number.)
What is the Mean Absolute Percentage Error (MAPE) of the forecast for the given data, as measured
from the forecast for period 1 to the forecast made in period 21? Answer in percent without the
percentage symbol, e.g. if your answer is 24.5% write 24.5.
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