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- B. The number of disk drives (in millions) made at a plant in China during the past 5 years follows: Year Disc Drives 1 140 160 3 190 4 200 5 210 i. Forecast the number of disk drives to be made next year, using linear regression.(a) Make a line chart for an m-period moving average to the exchange rate data shown below with m = 2, 3, 4, and 5 periods. For each method, state the last MA value. (Round your answers to 4 decimal places.) m-period Next period forecast 2: 3: 4: 5: Date Rate 1-Nov 1.2950 4-Nov 1.2906 5-Nov 1.2870 6-Nov 1.2872 7-Nov 1.2829 8-Nov 1.2790 12-Nov 1.2855 13-Nov 1.2840 14-Nov 1.2879 15-Nov 1.2901 18-Nov 1.2965 19-Nov 1.2926 20-Nov 1.2918 21-Nov 1.2915 22-Nov 1.2829 25-Nov 1.2885 26-Nov 1.2850 27-Nov 1.2881 29-Nov 1.2939 2-Dec 1.2936 3-Dec 1.3002 4-Dec 1.3095 5-Dec 1.3165 6-Dec 1.3127 9-Dec 1.3157 10-Dec 1.3178 11-Dec 1.3176 12-Dec 1.3133 13-Dec 1.3349 16-Dec 1.3330 17-Dec 1.3116 18-Dec 1.3078 19-Dec 1.3034 20-Dec 1.3036 23-Dec 1.2917 24-Dec 1.2955 26-Dec 1.3007 27-Dec 1.3090 30-Dec 1.3140 31-Dec 1.3269 2-Jan 1.3128 3-Jan 1.3091 6-Jan 1.3163 7-Jan 1.3127 8-Jan 1.3110 9-Jan 1.3069 10-Jan…Assume that you want to open a facility to produce wheelbarrows. Please analyze the market and forecast the daily demand. Belongs to your findings, what is takt time? (You are free to select the values of the related parameters by yourself.)
- The following table and plot show a variable "y" and the results of a model built to forecast its behavior. O a. O b. OC. Od. Actual @ 20 2.7 1129 43 3.5 5,8 4.6 Forecast MAE 0.083 Calculate the models MAE, MSE and MAPE MAE 1.150 MAE 1.886 1.1 3.9 MAE 1.150 4 MAE 1.271 3.6 4.8 4.7 6.0 6.3 90 MSE 1.445 MSE 1.445 MSE 6.909 MSE 1.445 MSE 1.810 MAPE 0.019 MAPE 0.321 MAPE 0.321 MAPE 0.431 # MAPE 0.418 Time Step Actual ForecastThe number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: F Year 4 Disk Drives 142 164 196 204 216 B a) Using simple linear regression, the forecast for the number of disk drives to be made next year-isk drives (round your response to one decimal place)A restaurant wants to forecast its weekly sales. Historical data (in dollars) for fifteen weeks are shown below. Use Excel and the Moving Averagetemplate to answer the following questions. Time Period Observation 1 1,536 2 1,521 3 1,403 4 1,250 5 1,142 6 1,313 7 1,501 8 1,301 9 1,289 10 1,521 11 1,472 12 1,500 13 1,654 14 1,569 15 1,300 Plot the data and provide insights about the time series. The correct graph is -Select-graph Agraph Bgraph Cgraph DItem 1 . A. B. C. D. What is the forecast for week 16, using a two-period moving average? Round your answer to the nearest cent. $ What is the forecast for week 16, using a three-period moving average? Round your answer to the nearest cent. $ Compute MSE for the two- and three-period moving average models to determine the best model. Do not round intermediate calculations. Round your answers to two decimal places. 2-period MA…
- I need the answer A resort cum restaurant spot in the area of Gazipur is open on the days of the week. The manager hopes to improve resources availability and scheduling of part-time employees by forecasting visitors number in the next week. Data on visitors of recent 6 weeks at the spot has been tabulated and shown in the following table: Week Sat Sun Mon Tue Wed Thu Fri 1 203 71 65 57 61 105 290 2 191 70 59 58 62 98 278 3 228 76 68 62 65 124 311 4 212 72 64 59 63 111 299 5 215 73 66 59 64 113 304 6 205 72 60 61 59 109 295 Which is the best technique to forecast visitors in the spot? Explain. Find forecasting equation or seasonal relatives. 3.Forecast expected numbers of visitors in the resort on week 7 and in the days of the week 7.Sarah has been custom manufacturing sweaters now for 7 years. Her annual sales are shown below. Year Sales 1 178 2 215 3 233 4 301 5 337 6 330 7 361 What are her forecasted sales for year 8 using a 3 year moving average? What are her forecasted sales for year 8 using a 5 year weighted average where w1=.4, w2=.3, w3=.15, w4=.1, w5=.05? What are her forecasted sales for year 8 using exponential smoothing? Assume year 7 forecast was 323. Select your own alpha. Which forecast method is the best for Sarah to use based on MAD? Why?Local city government statistics show the rate of new driver’s license applications to be as follows: Month week Applications Weekly Forecast May 1 338 2 299 3 315 4 312 June 1 307 2 310 3 305 4 Which forecasting method is better? Why?
- 2. A major airline uses an airport in a large city as a hub for its connecting flights. Each day the airline faces a number of claims from its passengers who lost their baggage. The number of lost baggage claims in the last 14 days have been 67, 25, 57, 58, 35, 29, 77, 44, 38, 36, 23, 69, 53, and 45 a. Use moving average method with N = 3 to forecast the expected number of claims for tomorrow. b. Use exponential smoothing method with parameter α = 0.7 to forecast the number of lost baggage claims that the airline should expect in the next 2 days. c. If the criterion for accuracy is the mean squared error (MSE), which of the forecasting methods in parts (a) and (b) are preferred? d. If you become in charge of providing forecasts for the number of claims in the next 2 days using exponential smoothing method, what would be your point and 90-percent prediction interval forecasts for the number of claims in each of the next 2 days? Use MSE as your evaluation criterion.ABC Bank is thinking of opening a new branch in a certain city besides its existing branches due tocustomers’ complaints of long waiting lines and distant of existing branches from them. As an expertin field of banking operations, you were asked to put the criteria of choosing the new location a- If you were asked to choose a mechanism for forecasting the number of transactions per day, what would be the methodology that you will use to decide such forecasting method and what do you think this method may be?Sarah has been custom manufacturing sweaters now for 7 years. Her annual sales are shown below. Year Sales 1 178 2 215 3 233 4 301 5 337 6 330 7 361 What are her forecasted sales for year 8 using a 5 year weighted average where w1=.4, w2=.3, w3=.15, w4=.1, w5=.05? What are her forecasted sales for year 8 using exponential smoothing? Assume year 7 forecast was 323. Select your own alpha. Which forecast method is the best for Sarah to use based on MAD? Why?
