Gretchen is proposing to present the sales from her lemondade stand as a pie chart tracking how much she sells each day to track the overall trend. Explain why this plan won't work and what she could use instead
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Gretchen is proposing to present the sales from her lemondade stand as a pie chart tracking how much she sells each day to track the overall trend. Explain why this plan won't work and what she could use instead
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- Gretchen is proposing to present the sales from her lemonade stand as a pie chart, tracking how much she sells each day to track the overall trend. Explain why this plan will not work and what she could use instead.Year Sales 1) 123 2)118 3) 109 4) 112 5) 100 6) 110 7) 124 8)Determine the demand in Year 8 using a 3-month moving average using the sales table. Use weights of 0.40, 0.30 and 0.30Demand forecasting is a process of O a. Estimation of previous year demand based on current data b. Estimation of future demand based on past and present data O c. Prediction of past demand based on future data o d. Prediction of last year demand using past data
- The managing director of a consulting group has the accompanying monthly data on total overhead costs and professional labor hours to bill to clients. Complete parts a through c Click the icon to view the monthly data. a. Develop a simple linear regression model between billable hours and overhead costs. Overhead Costs 105.790.5+ (47.3714) x Billable Hours (Round the constant to one decimal place as needed. Round the coefficient to four decimal places as needed. Do not include the $ symbol in your answers) b. Interpret the coefficients of your regression model. Specifically, what does the fixed component of the model mean to the consulting firm? Interpret the fixed term, bo, if appropriate. Choose the correct answer below. OA. The value of bo is the predicted overhead costs for 0 billable hours OB. For each increase of 1 unit in billable hours, the predicted overhead costs are estimated to increase by bo C. It is not appropriate to interpret bo. because its value is the predicted… For Disney World, there are six main parks. A forecast of daily attendance at each is the main number thatdetermines labour, maintenance, and scheduling. Disney develops daily, weekly, monthly, annual, and 5-year forecasts. At Disney, forecasts are reviewed daily at the highest levels to make sure that the model, assumptions, anddata are valid. Disney uses a variety of statistical models including moving averages, econometrics, and regression analysis.It also employs judgmental, or nonquantitative models. Disney uses park attendance forecasts to drive decisions about staffing, opening times, ride availability, andfood supplies. Disney’s forecasting team employs 35 analysts and 70 field personnel to survey 1 million people/businessevery year. Disney uses a firm called Global Insights for travel industry forecasts and gathers data on exchange rates,arrivals into the U.S., airline specials, Wall Street trends, and school vacation schedules. At Disney, Error measures are applied;…Consider the manager of a large department store. Among other responsibilities, she is in charge of inventory control so that she needs good forecasts of department sales. Think about the costs of overstocking and understocking merchandise, and recommend a loss function that she should use to produce her forecast.
- Historical demand for a product is DEMAND January 12 February 11 March 15 April 12 May 16 June 15 Using simple linear regression analysis, calculate the regression equation for the preceding demand data. Note: Round your intercept value to 1 decimal place and slope value to 2 decimal places. Using the regression equation in d, calculate the forecast for July. Note: Round your answer to 1 decimal place.The demand for Krispee Crunchies, a favorite breakfast cereal of people born in the 1940s, is experiencing a decline. The company wants to monitor demand for this product closely as it nears the end of its life cycle. The following table shows the actual sales history for January–October. Generate forecasts for November–December, using the trend projection with regression method. Looking at the accuracy of its forecasts over the history file, as well as the other statistics provided, how confident are you in these forecasts for November–December? Month Sales Month Sales January Februray March April May June 890,000 800,000 825,000 840,000 730,000 780,000 July August September October November December 710,000 730,000 680,000 670,000The demand for Krispee Crunchies, a favorite breakfast cereal of people born in the 1940s, is experiencing a decline. The company wants to monitor demand for this product closely as it nears the end of its life cycle. The following table shows the actual sales history for January–October. Generateforecasts for November–December, using the trend projection with regression method. Looking at the accuracy of its forecasts over the history file, as well as the other statistics provided, how confident are you in these forecasts for November–December?
- A company director wants to employ you to forecast the monthly inventory levels for the firm, which manufactures a single product. However, he is unclear what facilities to provide you with, this being the first formal forecasting project undertaken by the firm. Discuss the kinds of decisions that need to be made, including those about what information to utilize and how much money to spend, and the implications of these decisions.Given this data, compute the standard cost for one seafood dinner. What would the suggested menu price for the seafood dinner be assuming that the target food cost percent is 40 percent? Ingredient Serving Size (OZ) Edible Yield (%) AP Price Per Pound Fish 12 75 $8.98 Rice 4 100 $0.22 Beans 4 90 $0.65 Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.My App is a small but growing start-up that sees demand for several of its apps increasing quickly. The table below shows the last six months of downloads. Use a forecast for the first month of 220,000, an initial trend forecast of 35,000, and smoothing parameters of 015 for both demand smoothing and trend smoothing Month (t) Monthly Application Downloads Forecast for Next Month Trend 220,000.00 35,000.00 200,000 2 250, 100 334,000 380,000 440,000 500,000 (Round your answers to 2 decimal places.) Complete the table above, filling in the "Forecast for next month" and "Trend" columns, using double a. exponential smoothing (Round your answers to 2 decimal places.) Month 7's forecast is b.