THE ANSWER IS NOT D

THE ANSWER IS NOT D

The answers are not the ones marked

Kristen Pacheco owns a small restaurant that's open seven days a week. Until recently, she forecasted the daily number of customers she would have using her intuition. However, she wanted to open another restaurant and recognized the need to adopt a more formal method of forecasting that could be used in both locations. Kristen decided to compare a three week moving average forecast with exponential smoothing forecasts using a = .7 and a = .3. She collected sales data for a month. The actual sales for the past three weeks are shown in the table below along with her forecast for last week. Customers Per Day Tue Wed Week Sun Mon Thu Fri Sat Actual: 138 183 182 188 207 277 388 3 weeks ago 2 weeks ago 143 194 191 200 213 292 401 Last week 157 196 204 193 226 313 408 Forecast: Last week 155 191 192 198 204 286 396 QUESTION 5 Using the data from Question 1 and this updated actual sales data, what is the mean average deviation for Kristen's forecast when using exponential smoothing with a = .7? Customers Per Day Week Sun 160 Mon 204 Tue 197 Wed 210 Thu 215 Fri 300 Sat 421 Actual: O a. 8.14 O b.8.27 O c. 10.2 d. None of the above QUESTION 6 Using the data from Question 1 and this updated actual sales data, what is the mean average deviation for Kristen's forecast when using exponential smoothing with a = .3? Week Sun Mon 204 Customers Per Day Tue Wed 197 210 Thu 215 Fri 300 Sat 421 Actual: 160 O a. 8.57 O b. 8.93 O c. 10.4 d. None of the above QUESTION 7 Which forecasting method would you recommend that Kristen use? a. Three-month moving average O b. Exponential smoothing with a = .3 O c. Exponential smoothing with a = .7 Od. Any of the above - all are equally accurate. QUESTION 8 Which of the following is true of time series forecasts? O a. The first forecast is typically set equal to the first period's actual demand. O b. The first forecast is typically determined by setting it equal to the previous period's demand. c. The first forecast typically uses an average of recent historical demand to generate a forecast. Od. None of the above. Kristen Pacheco owns a small restaurant that's open seven days a week. Until recently, she forecasted the daily number of customers she would have using her intuition. However, she wanted to open another restaurant and recognized the need to adopt a more formal method of forecasting that could be used in both locations. Kristen decided to compare a three week moving average forecast with exponential smoothing forecasts using a = .7 and a = .3. She collected sales data for a month. The actual sales for the past three weeks are shown in the table below along with her forecast for last week. Customers Per Day Tue Wed Week Sun Mon Thu Fri Sat Actual: 138 183 182 188 207 277 388 3 weeks ago 2 weeks ago 143 194 191 200 213 292 401 Last week 157 196 204 193 226 313 408 Forecast: Last week 155 191 192 198 204 286 396 QUESTION 5 Using the data from Question 1 and this updated actual sales data, what is the mean average deviation for Kristen's forecast when using exponential smoothing with a = .7? Customers Per Day Week Sun 160 Mon 204 Tue 197 Wed 210 Thu 215 Fri 300 Sat 421 Actual: O a. 8.14 O b.8.27 O c. 10.2 d. None of the above QUESTION 6 Using the data from Question 1 and this updated actual sales data, what is the mean average deviation for Kristen's forecast when using exponential smoothing with a = .3? Week Sun Mon 204 Customers Per Day Tue Wed 197 210 Thu 215 Fri 300 Sat 421 Actual: 160 O a. 8.57 O b. 8.93 O c. 10.4 d. None of the above QUESTION 7 Which forecasting method would you recommend that Kristen use? a. Three-month moving average O b. Exponential smoothing with a = .3 O c. Exponential smoothing with a = .7 Od. Any of the above - all are equally accurate. QUESTION 8 Which of the following is true of time series forecasts? O a. The first forecast is typically set equal to the first period's actual demand. O b. The first forecast is typically determined by setting it equal to the previous period's demand. c. The first forecast typically uses an average of recent historical demand to generate a forecast. Od. None of the above