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- Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons: Week Forecast Method 1 Actual Demand 1 0.95 0.72 2 1.08 0.98 3 0.92 1.07 4 1.17 1.04 Week Forecast Method 2 Actual Demand 1 0.80 0.72 2 1.21 0.98 3 0.88 1.07 4 1.17 1.04 Part 2 The MAD for Method 1 = enter your response here thousand gallons (round your response to three decimal places).MSE answer for part a = 5.95 is incorrect. Please do recalculations with the correct answer. also the rest of the question was not answered so here it is: Use ? = 0.2 to compute the exponential smoothing values for the time series. Week Time SeriesValue Forecast 1 19 2 14 3 17 4 12 5 18 6 15 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (Round your answer to two decimal places.) Use ? = 0.4 to compute the exponential smoothing values for the time series. Week Time SeriesValue Forecast 1 19 2 14 3 17 4 12 5 18 6 151.Position mapping can be used for all of the following exceptA. Determining a brand's position relative to the competition.B. Determining which positioning strategy should be used.C. Determining where to position a particular brand.D. Identifying gaps that arc not being addressed by any brand. 2.Brands can be mapped on a positioning map based onA.who purchases each brandB. Their most significant attributesC.the positioning strategy used by each brandD.the brands marketing strategies 3.Wal-Mart advertises the savings and value of shopping at Wal-Mart because of theirlive better, save money' tagline, This is an example of ____ product positioning. A.attributo/benchtB.price/qualityC.use or applicationD. product user 4.The _____ positioning strategy uses a good or service attribute or benefit to positionthe product in the consumer's mind relative to the products of the competition. A.attribute/ benefitB.price/qualityC.use of applicationD. Product class 5.The two major demographic…
- Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons: Week Forecast Method 1 Actual Demand 1 0.90 0.70 2 1.05 1.00 3 0.95 1.00 4 1.20 1.00 Week Forecast Method 2 Actual Demand 1 0.80 0.70 2 1.20 1.00 3 0.90 1.00 4 1.11 1.00 The MAD for Method 1 = nothing thousand gallons (round your response to three decimal places).Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons: Week Forecast Method 1 Actual Demand 1 0.90 0.70 2 1.05 1.00 3 0.95 1.00 4 1.20 1.00 Week Forecast Method 2 Actual Demand 1 0.80 0.70 2 1.20 1.00 3 0.90 1.00 4 1.11 1.00 The MAD for Method 1 = 0.1250.125 thousand gallons (round your response to three decimal places). The mean squared error (MSE) for Method 1 = nothing thousand gallons2 (round your response to three decimal places).which of the following are charactersitics of qualitative forecasting methods? 1. Function of past data,2. Non numerical data , 3. useful when past data is avaialable , based on 4. broad range of knowledge , personal judgement, and intuition?
- Explain the trade-off between responsiveness and stability in a forecasting system that uses time-series data. Who needs to be involved in preparing forecasts? 3. How has technology had an impact on forecasting? What capability would an organization have to have to not need forecasts? Give three examples of unethical conduct involving forecasting and the ethical principle each violatesPlease help with the correct answers in details: Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 19 14 17 12 18 15 a) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time SeriesValue Forecast 1 19 2 14 3 17 4 12 5 18 6 15 What is Compute MSE? (Round your answer to two decimal places.) MSE = ? What is the forecast for week 7? b) Use ? = 0.2 to compute the exponential smoothing values for the time series. Week Time SeriesValue Forecast 1 19 2 14 3 17 4 12 5 18 6 15 What is Compute MSE. (Round your answer to two decimal places.) MSE = ? What is the forecast for week 7? (Round your answer to two decimal places.) c) Use ? = 0.4 to compute the exponential smoothing values for the time series. Week Time SeriesValue Forecast 1…The topic of technology forecasting adopts a broad definition that incorporates competitive technical intelligence, foresight, impact assessment, risk assessment, and technology road mapping. Which of these topics is the highest of importance in technology forecasting?
- Hide Assignment Information Instructions Exercise #5 For this week exercise, we need to try a few logit models (see this link for more information: LOGIT REGRESSION) If you have chosen to work with Excel, please run above three models and complete the following tables. Model 1: Run a regression model and use being a member of network and find out its impact on hospital cost? (Model 1) Model 2: For the 2nd model run a regression model and use being a member of network and find out its impact on hospital cost and hospital revenue? (Model 2) Model 3: For the 3rd model run a regression model and use being a member of network and find out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Based on your finding please recommend 3 policies and discuss the impact of being on a network on hospital cost, hospital revenue and out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Do you recommend keeping membership for a hospital? Why or why not?Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons. FORECAST Week Method 1 Method 2 Actual Demand 1 0.90 .80 .70 2 1.05 1.20 1.00 3 0.95 .90 1.00 4 1.20 1.11 1.00 What are the MAD and MSE for each method?The following data show the number of liters of gasoline sold by Mackrin's in Colorado for the past 12 weeks. Which forecasting model would you recommend to Mackrin's manager? Why? What demand forecast would you recommend for week 13? Week Actual Demand (1000 liters) Forecasting (1000 liters) FSMA /A-F/ FWMA /A-F/ FES, α=0.3 /A-F/ 1 17 2 21 17 4 3 19 18.2 0.8 4 23 19 4 18.44 4.56 5 18 21 3 20.8 2.8 19.81 1.81 6 16 20 4 20 4 19.3 3.3 7 20 19 1 18.3 2.3 18.31 1.69 8 18 18 0 18.7 0.7 18.82 0.82 9 22 18 4 18.2 4.2 18.6 3.4 10 20 20 0 19.8 0.2 19.62 0.38 11 15 20 5 20.2 5.2 19.73 4.73 12 22 19 3 18.2 3.8 18.3 3.7 13 19 19.5 19.41 MAD 2.67 2.9 2.7 MSE 10.22…
