Daily high temperatures in St. Louis for the last week were as follows: 92, 94, 95, 92, 95, 86, 95 (yesterday).degrees (round your response to one decimala) The high temperature for today using a 3-day moving average = [place).b) The high temperature for today using a 2-day moving average =place).degrees (round your response to one decimalc) The mean absolute deviation based on a 2-day moving average = degrees (round your response to one decimalplace).d) The mean squared error for the 2-day moving average = degrees2 (round your response to one decimal place).e) The mean absolute percent error (MAPE) for the 2-day moving average=% (round your response to one decimalplace).ievS

Forecasting is predicting the uncertainties in advance so that corrective actions can be planned.…

Answered: a) The high temperature for today using…

Marketing

20th Edition

ISBN:9780357033791

Author:Pride, William M

Publisher:Pride, William M

Chapter6: Target Markets: Segmentation And Evaluation

Section: Chapter Questions

Problem 17DRQ: Under what conditions might a firm use multiple forecasting methods?

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Under what conditions might a firm use multiple forecasting methods?
Daily high temperatures in St. Louis for the last week were as follows: 93, 94, 93, 95, 96, 88, 93 (yesterday). a) The high temperature for today using a 3-day moving average = 92.3 degrees (round your response to one decimal place). b) The high temperature for today using a 2-day moving average = 90.5 degrees (round your response to one decimal place). c) The mean absolute deviation based on a 2-day moving average = degrees (round your response to one decimal place).
H The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Month Jan Number of Accidents 25 Feb 48 Mar Apr 64 100 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): ŷ=+x
The following gives the number of accidents that occured on Florida State Highway 101 during the last 4 months: Month Jan Feb Mar Apr Number of accidents 25 48 60 105 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): ^ y [___] +[___] x
The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Month Jan Feb Mar Apr Number of Accidents 30 48 70 90 Part 2 Using the least-squares regression LOADING... method, the trend equation for forecasting is (round your responses to two decimal places): y = enter your response here + enter your response here x Y=?+?x
The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Month Number of Accidents Jan 25 Feb 40 Mar 70 Apr 90 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): ŷ=+x
d) Using exponential smoothing with α = 0.40 and the forecast for year 1 being 3,000, the forecast for year 6 = ? miles (round your response to the nearest whole number).
The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Jan Feb Mar AprMonth 1 2 3 4Number of Accidents 25 40 60 105 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): y = ? + ?x
Daily high temperatures in St. Louis for the last week were as follows: 93, 92, 95, 92, 95, 88, 93 (yesterday). a) The high temperature for today using a 3-day moving average = degrees (round your response to one decimal place). b) The high temperature for today using a 2-day moving average = degrees (round your response to one decimal place). c) The mean absolute deviation based on a 2-day moving average = degrees (round your response to one decimal place). d) The mean squared error for the 2-day moving average = degrees (round your response to one decimal place). e) The mean absolute percent error (MAPE) for the 2-day moving average = % (round your response to one decimal place). Enter your answer in each of the answer boxes.
The number of internal disk drives (in million) made at a plant in Taiwan during the past 5 years follows: Year Disk Drives 1 142 2 156 3 184 4 204 5 210 a) Using simple linear regression the forecast for the number of disk drives to be made next year= 234.4 disk drives b) The mean squared error (mse) when using simple linear regression=[___] drives^2 (round your response to one decimal place)
Over the past 6 weeks, some overseas wholesalers lowered their exports past 6 weeks shipments received by kaa were: 40, 35, 38, 34, 36, 31 tons. Kaa is seeking your help in forecasting expected shipment after 6 more weeks. Is it SMA or WMA or SLR or ESM forecast model?
4) A small manufacturing firm has recorded a time series of the cost per unit for the firm's leading product over the past eight years. Year Cost/Unit($) 1 2 3 4 5 6 7 8 20 24.5 28.2 27.5 26.6 30 31 36 a) If you are not given a base value or trend, what would be the forecast for the year 10 made at the end of year 8 (a=0.2, ß=0.4). b) Forecast for the year 9 using 1) 5-month weighted average using 0.1,0.1,0.1,0.2,0.3, with the heaviest weight applied to the recent month 2) Exponential smoothing using a =0.2 and forecast of 21 for year 5 3) If a value was not provided in the question above, what value of a would you choose?

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