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- The file P13_42.xlsx contains monthly data on consumer revolving credit (in millions of dollars) through credit unions. a. Use these data to forecast consumer revolving credit through credit unions for the next 12 months. Do it in two ways. First, fit an exponential trend to the series. Second, use Holts method with optimized smoothing constants. b. Which of these two methods appears to provide the best forecasts? Answer by comparing their MAPE values.The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?What forecasting technique makes use of written surveys or telephone interviews? Historical analogy, Delphi method, Marketing research, Ad hoc forecasting, or Collaborative forecasting? 2 Which qualitative forecasting technique was developed to ensure that the input from every participant in the process is weighted equally? Historical analogy, Delphi method, Marketing research, Ad hoc forecasting, or Collaborative forecasting? 3 When forecasting demand for new products, sometimes firms will use demand data from similar existing products to help forecast demand for the new product. What technique is this an example of? Historical analogy, Delphi method, Marketing research, Ad hoc forecasting, or Collaborative forecasting
- Explain the benefits does exponential smoothing have over moving avarages as a forecasting tool ?a. What is the mean square error for time periods 2 through 4 using the average forecasting method? b. What is the mean absolute error for time periods 2 through 4 using the average forecasting method? c. What is the mean absolute percentage error for time period 2 through 4 using the average forecasting method? Round all answers to two decimal places. Time Period 1 2 3 4 Mean absolute error (MAE) Mean squared error (MSE) Mean absolute percentage error (MAPE) Electric Bill 510 315 420 480 Average Forecast Forecast ErrorThe sales of Bluetooth Headphones at the Dubai Electronics Enterprises in Jebel Ali, UAE, over the past 4 months have been 100, 110, 120, and 130 units (with 130 being the most recent sales). Develop a moving-average forecast for next month, using the following techniques: 5B. If next month's sales turn out to be 140 units, forecast the following month's sales (months) using a 4-month moving average.
- 10 Community General Hospital finds itself treating many bicycle accident victims. Data from the last seven 24-hour periods is shown below: Day Bicycle Victims 1 8 2 14 3 8 4 14 5 18 6 15 What is the forecast for day 4 using a 3-period moving average model? (1 mark) (Round to two decimal places). 11 What is the forecast for day 5 using a 3-period moving average model? (Round to two decimal places). 12 What is the forecast for day 6 using a 3-period moving average model? (1 mark) (Round to two decimal places). 13Corporate triple-A bond interest rates for 12 consecutive months follow. Month 1 2 3 4 5 6 7 8 9 10 11 12 Value 9.5 9.3 9.4 9.6 9.8 9.7 9.8 10.5 9.9 9.7 9.6 9.6 a. Construct a time series plot. What type of pattern exists in the data? b. Develop the three-month moving averages for this time series. Compute MSE. c. Compute MAE. d. Compute MAPE. e. What is the three-month moving average forecast for the next month (month 13)?a. Using the following, forecast the sales for the months up to January the following year:-i. A simple three month moving average.ii. A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data. iii. Exponential Smoothing when α= .6 and the forecast for March is 350.iv. Determine which of the three forecasting technique is the most accurate using MAD.
- What forecasting technique makes use of written surveys or telephone interviews?The table shows the values found in the error analysis. What method of forecasting would be best to use? What is the forecasted value? MSE forecast for week 13 Time Series 1.08 14.76 3-week MA 3.04 13.67 exp smoothing 11.04 9.5 Group of answer choices A.) Time Series, forecasted value = 14.76 B.) 3-week MA, forecasted value = 13.67 C.) exp smoothing, forecasted value = 9.5 D.) Time Series, forecasted value = 1.08 E.) 3-week MA, forecasted value = 3.04 F.) exp smoothing, forecasted value = 11.04Lesson about Forecasting: Linear Regression and Measures of Variations, view the photo for details. Help me pls.