c) The mean absolute deviation based on a 2-day moving average = degrees (round your response to one decimal place)
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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: 92, 94, 95, 92, 95, 86, 95 (yesterday). degrees (round your response to one decimal a) 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 decimal 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 = 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 decimal place). iev SDaily 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).
- 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)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 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=+xThe 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 = ? + ?xSales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Using exponential smoothing with a smoothing constant (α) of 0.30 and a starting forecast of 415.00, the following sales forecast has been developed: Year Sales Forecasted Sales 2005 455 415.00 2006 502 427.00 2007 518 449.50 2008 563 470.05 2009 584 497.94 Part 2 The MAD for a forecast developed using exponential smoothing with α = 0.30 is enter your response here sales (round your response to two decimal places). Part 3 Forecasted sales for years 2006 through 2010 using exponential smoothing with α = 0.60 and a starting forecast of 415.00 are (round your responses to two decimal places): Year 2005 2006 2007 2008 2009 2010 Forecasted Sales 415.00 enter your response here enter…
- What is the mean absolute deviation (MAD)? Why is it useful in forecasting?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=?+?xThink of an industry or company other than automotive that relies heavily on forecasting accuracy. What are the implications to the chosen business of poor forecasting?