ber of tons of brake assemblies received at an auto parts distribution center last month wa ast tonnage was 650 for last month. The company uses a simple exponential smoothing m ing constant of 0.46 to develop its forecasts. What will be the company's forecast for the ne r answer
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- Use simple exponential smoothing with a = 0.3 to forecast bike sales for September through December. Assume that the forecast for September was 60 units. a) What will be the forecast for December? b) Calculate the MAD. Last saved 11:13:58 AM budy Questions Filter (25) Month September October November December F3 X C O Search P Bike Sales 54 72 60 ? YDirection: Complete the table below to find the 60h percentile for the following se of data. Data Find the position of Find P60 P=(n+ 1)th Px100 1. 20, 22, 25, 32, 35 P60 = 20-2 20122 2. 49, 50, 55, 55, 60, 67 P60 = 3. 18, 19, 20, 22, 25,27, 29, 30, 32 P60 = Direction: Read the questions carefully. Encircle the letter of the correDirector Very Busy needs to allocate time this week for office appointments, so he needs to forecast the number of employees who will seek appointments. The director has gathered the following time series data recently Period Employee Appointments 4 weeks ago 95 3 weeks ago 80 2 week ago 65 last week 50
- QUESTION 3 Annual Fund Returns Over the Past 10 Years Year Return (%) 4.5 6.0 1.5 -20 3 4 15 6 7 19 20 0.0 45 3.5 2.5 5.5 4.0 10 Calculate the geometric mean retur over the 10 years. Give your answer in percent, rounded to two decimal places, so in the format X.XX. Hint, the number zero is not used in the correct answerTime Actual (Y) Forecast (Yhat) Forecast Error 100 1 2 110 3 115 4 120 If naïve method is used for the above data, what is the error for period 4, e(4)? Hint: You have to calculate he forecasted value before you can calculate the forecast error. 10 15 can not be determinedDefine Forecasts and forecast errors in time series anaylsis?
- What is meant by the efficiency of an estimator? Which estimator is knownas BLUE?2. Montyboy Pet Shop ships boxed can dogfood anywhere in the country. Using the following information, forecast the shipments for the first four months. Seasonal Relative Month January February March 1.2 1.3 1.3 1.1 0.8 0.7 The monthly forecast equation being used is: Yt = 402 + 3t April May June Where: to = January last year Yt = number of shipments Month July August September October November December Seasonal Relative 0.8 0.6 0.7 1.0 1.1 1.4 Question: Determine the trend amounts for the first four months of the next year assuming January, t=24; February, t=25; etc. Note: Round answers to whole numbers.Campus Advising needs to allocate time this week for office appointments, so she needs te forecast the number of students who will seek appointments. The advisor has gathered th following time series data recently: Period Student Appointments 4 weeks ago 95 3 weeks ago 80 2 weeks ago 65 Last week 50 Answer the next two questions (questions 11 and 12), based on this information. 11. What is this week's forecast for student appointments using a three-week moving average? a) 80 b) 50 c) 52 d) 65 e) 78
- .A forecasting method has produced the following over the past five months Actual 140 Forecast 154 140 112 140 84 126 112 84 112 ?What is the mean absolute deviation 14-O 16.8 2.8- 116.2A company that produces video equipment, including videocameras and televisions, is attempting to forecast what newproducts and product innovations might be technologicallyfeasible and that customers might demand 10 years into thefuture. Speculate on what type of qualitative methods itmight use to develop this type of forecast.Sales in a company are $188 million in 2009 and increase $208 million in 2010. Compute the percentage increase in sales using the usual formula Compare this value to the approximation The approximation performs (1) percentage change increases. 100 x (1) O better (2) O deteriorates O worst O improves 100 x 100 x (Sales 2010 - Sales 2009) Sales 2009 100 x [In (Sales2010) -In (Sales2009)] (Sales 2010 - Sales2009) Sales 2009 100 x [In (Sales 2010) -In (Sales2009)] = [ (Express your response as a percentage and round to three places) Now, assume that sales in a company are $188 million in 2009 and increase $264 million in 2010. = (Sales2010 - Sales 2009) Sales 2009 % % % 100 x [In (Sales 2010) -In (Sales 2009)] = [ (Express your response as a percentage and round to three places) % when the change is small. The quality of the approximation (2). as the