The relationship between marketing expenditures (x) and sales (y) is given by the following formula, y = 9x − 0.05x2 + 9. (Hint: Use the Nonlinear Solver tool). What level of marketing expenditure will maximize sales? (Round your answer to 2 decimal places.) What is the maximum sales value? (Round your answer to 2 decimal places.)
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The relationship between marketing expenditures (x) and sales (y) is given by the following formula, y = 9x − 0.05x2 + 9. (Hint: Use the Nonlinear Solver tool).
- What level of marketing expenditure will maximize sales? (Round your answer to 2 decimal places.)
- What is the maximum sales value? (Round your answer to 2 decimal places.)
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- A company manufacturers a product in the United States and sells it in England. The unit cost of manufacturing is 50. The current exchange rate (dollars per pound) is 1.221. The demand function, which indicates how many units the company can sell in England as a function of price (in pounds) is of the power type, with constant 27556759 and exponent 2.4. a. Develop a model for the companys profit (in dollars) as a function of the price it charges (in pounds). Then use a data table to find the profit-maximizing price to the nearest pound. b. If the exchange rate varies from its current value, does the profit-maximizing price increase or decrease? Does the maximum profit increase or decrease?The model in Example 9.3 has only two market outcomes, good and bad, and two corresponding predictions, good and bad. Modify the decision tree by allowing three outcomes and three predictions: good, fair, and bad. You can change the inputs to the model (monetary values and probabilities) in any reasonable way you like. Then you will also have to modify the Bayes rule calculations. You can decide whether it is easier to modify the existing tree or start from scratch with a new tree.Play Things is developing a new Lady Gaga doll. The company has made the following assumptions: The doll will sell for a random number of years from 1 to 10. Each of these 10 possibilities is equally likely. At the beginning of year 1, the potential market for the doll is two million. The potential market grows by an average of 4% per year. The company is 95% sure that the growth in the potential market during any year will be between 2.5% and 5.5%. It uses a normal distribution to model this. The company believes its share of the potential market during year 1 will be at worst 30%, most likely 50%, and at best 60%. It uses a triangular distribution to model this. The variable cost of producing a doll during year 1 has a triangular distribution with parameters 15, 17, and 20. The current selling price is 45. Each year, the variable cost of producing the doll will increase by an amount that is triangularly distributed with parameters 2.5%, 3%, and 3.5%. You can assume that once this change is generated, it will be the same for each year. You can also assume that the company will change its selling price by the same percentage each year. The fixed cost of developing the doll (which is incurred right away, at time 0) has a triangular distribution with parameters 5 million, 7.5 million, and 12 million. Right now there is one competitor in the market. During each year that begins with four or fewer competitors, there is a 25% chance that a new competitor will enter the market. Year t sales (for t 1) are determined as follows. Suppose that at the end of year t 1, n competitors are present (including Play Things). Then during year t, a fraction 0.9 0.1n of the company's loyal customers (last year's purchasers) will buy a doll from Play Things this year, and a fraction 0.2 0.04n of customers currently in the market ho did not purchase a doll last year will purchase a doll from Play Things this year. Adding these two provides the mean sales for this year. Then the actual sales this year is normally distributed with this mean and standard deviation equal to 7.5% of the mean. a. Use @RISK to estimate the expected NPV of this project. b. Use the percentiles in @ RISKs output to find an interval such that you are 95% certain that the companys actual NPV will be within this interval.
- Develop a spreadsheet for the question. The vice president of finance has looked at your ooriginal scoring model and feels that tax considerations should be included in teh model with a weight of 15. In addition, the VP has scored the methods on tax considerations as follows: method A recieved a score of 3, method B recieved a score of 2, and Method C recieved a score of 1. How would this additional information affect your recommendation?The relationship between marketing expenditures (x) and sales (y) is given by the following formula, y= 7x- 0.25x + 6. (Hint: Use the Nonlinear Solver tool). a. What level of marketing expenditure will maximize sales? (Round your answer to 2 decimal places.) Marketing expenditure b. What is the maximum sales value? (Round your answer to 2 decimal places.) Maximum sales valueThe relationship between marketing expenditures (x) and sales (y) is given by the following formula, y= 6x- 0.40x+15. (Hint: Use the Nonlinear Solver tool). a. What level of marketing expenditure will maximize sales? (Round your answer to 2 decimal places.) Marketing expenditure b. What is the maximum sales value? (Round your answer to 2 decimal places.) Maximum sales value
- Suppose that you work at a local food manufacturer and are given the task of investigating your company's seasonal sales patterns over the past 10 years (2011 to 2020). After adjusting your sales values for inflation, you calculate the following seasonal sales averages (in millions): Spring: 39 Summer: 46 Fall: 32 Winter: 23 Use this information to seasonally adjust your 2021 Winter sales total of 29 million. Round your answer to two decimal points and omit any units (1.23 NOT $1.23 million).A company needs to hire workers to cover a 7 day work week. Employees work 5 consecutive days with 2 days off. The demand for workers by day of the week and the wages per shift are: 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.A careful analysis of the cost of operating an automobile was conducted by accounting manager Dia Bandaly. The following model was developed: y = 3,600+ 0.16x, where y is the annual cost and x is the miles driven. a) If the car is driven 15,000 miles this year, the forecasted cost of operating this automobile = $ b) If the car is driven 26,000 miles this year, the forecasted cost of operating this automobile = $ (enter your response as a whole number). (enter your response as a whole number).
- The following table shows quarterly sales (in thousand units) for a product over 4 years. The overall sales average for the entire 4 years is 126.0625 (thousand units).Fill in the missing values assuming there is no trend.Round seasonal indexes to 4 decimal places.Report Averages accurate to at most 2 decimal places.Report Actual sales ('000) accurate to the nearest integer. Year 1 Year 2 Year 3 Year 4 Average Seasonal Index Quarter 1 92 93 95 106 Quarter 2 105 106 105 101 Quarter 3 197 187 196 1.5211 Quarter 4 106 116 121 0.8865 PART BSuppose actual quarterly sales (in thousands) for Year 5 are 93, 123, 206, and 126 respectively. Assuming there is no trend, forecast sales for the four quarters of Year 5.Use seasonal indexes (rounded to 4 decimal places) from Part A.Report forecast answers as integers accurate to the nearest thousand.Quarter 1 forecast = thousandQuarter 2 forecast = thousandQuarter 3 forecast = thousandQuarter 4 forecast =…To better plan for future growth of the restaurant, Karen needs to develop a system that will enable her to forecast food and beverage sales by month for up to one year in advance. Table shows the value of food and beverage sales ($1000s) for the first three years of operation. Food and Beverage Sales for the Vintage Restaurant ($1000s) Month First Year Second Year Third Year January 242 263 282 February 235 238 255 March 232 247 265 April 178 193 205 May 184 193 210 June 140 149 160 July 145 157 166 August 152 161 174 September 110 122 126 October 130 130 148 November 152 167 173 December 206 230 235 Managerial Report Perform an analysis of the sales data for the Vintage Restaurant. Prepare a report for Karen that summarizes your findings, forecasts, and recommendations. Include the following: A time series plot. Comment on the underlying pattern in the time series.…. Suppose that you are working as an analyst. Your task is to value company XYZ based on financial data available for this company. Discuss how you would go about doing this using themultiple growth rate Gordon growth model. Critically evaluate your approach by discussing any assumptions you make (about forecasts, discount rate etc.). What data is needed to value XYZ?