Breakdown Approach Salesforce size = Forecasted sales / Average sales per salesperson Sleepy, Inc, a manufacturer of baby products, just introduced a new product to the market which they believe will greatly increase revenues in 2022. The company's forecasted sales for 2023 are $60,000,000 and salespeople currently average $1,500,000 in annual sales. How many salespeople does Sleepy, Inc. need for 2023? Show your work.

Breakdown Approach Salesforce size = Forecasted sales / Average sales per salesperson Sleepy, Inc, a manufacturer of baby products, just introduced a new product to the market which they believe will greatly increase revenues in 2022. The company's forecasted sales for 2023 are $60,000,000 and salespeople currently average $1,500,000 in annual sales. How many salespeople does Sleepy, Inc. need for 2023? Show your work.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter5: Business And Economic Forecasting

Section: Chapter Questions

Problem 3E: Metropolitan Hospital has estimated its average monthly bed needs as N=1,000+9X where...

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Give typing answer with explanation and conclusion Suppose that the government must undertake an irreversible policy decision regarding the extent of air pollution regulation. The government is making this decision in a situation of uncertainty, however. In particular, there is some probability p that the benefits will remain the same as they are this year for all future years, but there is some probability 1 - p that benefits will be less in all future years. If we take into consideration the multiperiod aspects, should we err on the side of overregulation or underregulation, compared to what we would do in a single-period choice?
53. The annual demand for Prizdol, a prescription drugmanufactured and marketed by the NuFeel Company,is normally distributed with mean 50,000 and standarddeviation 12,000. Assume that demand during each ofthe next 10 years is an independent random numberfrom this distribution. NuFeel needs to determine howlarge a Prizdol plant to build to maximize its expectedprofit over the next 10 years. If the company builds aplant that can produce x units of Prizdol per year, it willcost $16 for each of these x units. NuFeel will produceonly the amount demanded each year, and each unit ofPrizdol produced will sell for $3.70. Each unit of Prizdol produced incurs a variable production cost of $0.20.It costs $0.40 per year to operate a unit of capacity.a. Among the capacity levels of 30,000, 35,000,40,000, 45,000, 50,000, 55,000, and 60,000 unitsper year, which level maximizes expected profit?Use simulation to answer this question.b. Using the capacity from your answer to part a,NuFeel can be 95%…
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Can you explain what these two belows mean in regard of GMM and Maximum likelihood. What are we calculating and what is it used to Unconstrained optimizationConstrained optimizatio
A farmer believes there is an equal chance that the next growing season will be abnormallyrainy. His expected return function has the formExpected return = 0.5lnYNR + 0.5lnYRwhere YNR and YR represent the farmer’s income in the states of “normal rain”and “rainy,” respectively.Suppose the farmer must choose between two crops that promise the following incomeprospects:Crop YNR YRMaize $14,000 $5,000Cotton $9,500 $7,500a) Which of the crops will he plant?b) Suppose the farmer can plant half his field with each crop. Would he choose to do so?Explain your result.c) What mix of Maize and Cotton would provide maximum expected utility to this farmer?d) Would Maize crop insurance, available to farmers who grow only Maize, which costs$2,000 and pays off $4,000 in the event of a rainy growing season, cause this farmer tochange what he plants?
Please no written by hand solution Kate recently invested in real estate with the intention of selling the property one year from today. She has modeled the returns on that investment based on three economic scenarios. She believes that if the economy stays healthy, then her investment will generate a 30 percent return. However, if the economy softens, as predicted, the return will be 10 percent, while the return will be -25 percent if the economy slips into a recession. If the probabilities of the healthy, soft, and recessionary states are 0.6, 0.2, and 0.2, respectively, then what are the expected return and the standard deviation of the return on Kate❝s investment? Calculate the coefficient of variation for this investment. (Round expected return to 3 decimal places, e.g. 0.125 and round intermediate calculations and standard deviation to 5 decimal places, e.g. 0.07680.)
In the past four years, the annual returns of one company’s stockare 12%, 18%, and –14%, and 7%.a) What is the geometric average return? b) What is the arithmetic average of the returns? c) According to an economist’ forecast on the Year 2020, the probabilities of repeatingthe performances of the former four years are 30%, 30%, 20%, and 20%, respectively.What is the expected return of the stock in the Year 2020
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Metropolitan Hospital has estimated its average monthly bed needs asN = 1;000 + 9Xwhere X = time period (months); January 2002 = 0N = monthly bed needsAssume that no new hospital additions are expected in the area in the foreseeable future. The following monthly seasonal adjustment factors have been estimated, using data from the past five years:MONTH ADJUSTMENT FACTOR (%)January +5April −15July +4November −5December −25a. Forecast Metropolitan’s bed demand for January, April, July, November, and December 2007.b. If the following actual and forecast values for June bed demands have been recorded, what seasonal adjustment factor would you recommend be used in making future June forecasts?YEAR FORECAST ACTUAL2007 1,045 1,0962006 937…
Bell Greenhouses has estimated its monthly demand for potting soil to be the following:N = 400 + 4Xwhere N = monthly demand for bags of potting soilX = time periods in months (March 2006 = 0)Assume this trend factor is expected to remain stable in the foreseeable future. The following table contains the monthly seasonal adjustment factors, which have been estimated using actual sales data from the past five years:MONTH ADJUSTMENT FACTOR (%)March +2June +15August +10December −12a. Forecast Bell Greenhouses’ demand for potting soil in March, June, August, and December 2007.b. If the following table shows the forecasted and actual potting soil sales by Bell Greenhouses for April in five different years, determine the seasonal adjustment factor to be used in making an April 2008 forecast.YEAR FORECAST ACTUAL 2007 500 515 2006 452…
edian household incomes tend to increase from one year to the next. In 2019, the median household income was $64,101 in Madison, Wisconsin, and $42,087 in Milwaukee. In 2020, the median household incomes were $66,847 in Madison and $44,192 in Milwaukee. Find the absolute and relative changes for median household incomes in Madison and Milwaukee from 2019 to 2020. Give any percentage values rounded to the nearest tenth of a percent and dollar values to the nearest whole dollar amount. (a) From 2019 to 2020, the absolute change for median household income in Madison was$ . (b) From 2019 to 2020, the relative change for median household income in Madison was %. (c) From 2019 to 2020, the absolute change for median household income in Milwaukee was$ . (d) From 2019 to 2020, the relative change for median household income in Milwaukee was %. Use the "Add Work" button to show your work and thought process for these calculations. You may type