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- Write a paragraph to explain to your CEO that based on using regression analysis, through using the solver tool of excel, recalculate the optimum units to produced this month is 800 pro 200 mini to have the maximize revenue of $174,400.00. Explain what/why would it be if you make any changes in the units to stay within the constraints that you have it would produce less money. Screenshot attachedThe 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…This a 4 part question that am confused about. Please show the work by hand not excel. 4-1 Sales of a particular product (in the thousands of dollars) for the years 2015 through 2018 have been $48,000, $64,000, $67,000 and $83,000 respectively. (a)What sales would you predict for 2019, using simple four-year moving avaerage? (b) What sales would you predict for 2019, using a weighted moving average with weights of 0.50 for the immediate preceding year and 0.3, 0.15, and 0.05 for the three years before that? (I am able to calculate and know the answer for (a) $65,000 and (b) $73,000. What I don't understand is the following : 4-2 Using exponential smoothing with a weight of 0.6 on actual values: (a) If sales are $45,000 and $50,000 for 2017 and 2018, what would you forecast for 2019 ? (The first forecast is equal to the value of the preceding year.) (b) Given this forecast and actual 2019 sales of $53,000, what would you then forecast for 2020? 4-3 In Problem 4-1, taking…
- 4GE 10:01 A company has production costs of item and can produce 270 $15 per items for a total cost of $6,925. The company brings in a total of $3,995 in revenue from selling 85 of these items. Determine each of the following functions. Enter all answers below in slope-intercept form, using exact numbers. a. Find the company's linear revenue function. R(x) b. Find the company's linear profit function. P(x) Submit answer1. Problem: If a car driven 50,000 miles, how much would be the maintenance cost? 2. Use Linear Regression equation to find the maintenance cost. Show step by step calculations. 3. Also, calculate r^2 for the above model. Show step by step calculations.Answer questions using EXCEL , include formulas Myrtle Air Express decided to offer direct service from Cleveland to Mrytle Beach. Management must decided between a full-price service using the company's new fleet of jet aircraft and a discount service using smaller capacity commuter planes. It is clear that the best choice depends on the market reaction to the service Myrtle Air offers. Management developed estimates of the contribution to profit for each type of service based upon two possible levels of demand for service to Mrytle Beach: strong and weak. The following table shows the estimated quarterly profits (in thousands of dollars): Service Strong Weak Full Price $960 -$490 Discount $670 $320 a. What is the decision to be made, what is the chance event, and what is the consequence for this problem? How many decision alternatives are there? How many outcomes are there for the chance event? b. If nothing is known about the probabilities of the chance outcomes,…
- b) Perform Goal Seek Analysis in Excel, Technique of Model Driven Decision Support System. Using goal seek analysis technique of Model Driven Decision Support System, predict the number of pizza to be sold in a day to achieve the total income of Rs 272000/= while excluding all expenses like cost per Pizza (RS. 1000), salary per person (Rs. 1000 per day) we have 3 employees, shop rent per day (Rs. 2000) and 5% Tax. Price of a pizza is fixed to Rs 2500. Formulas on answer sheet as well.Star, Incorporated, used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R R Square Observations 0.9798 0.9560 30 Coefficients Standard Error 60,902 0.9237 Intercept Production (x) How much of the variation in cost is explained by production? 174,302 11.06 T Stat 2.86 11.97 P-Value 0.021 0.000Hide 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?
- A company, Martell MisMatch, is comprised of 4 units: Bob's cufflinks, Jennifer's Speakers, Cathy's ChatBox and Evan's Energy Drinks. Match the following SBU situations with the appropriate cell in the Boston Consulting Grid (BCG). Use each answer only once. Bob's cufflinks: slow market growth with #1 market share Jennifer's speakers: slow industry growth, low market share/cash flow Cathy's ChatBox: fast industry & growing, relative market share 1 [Choose ] [Choose ] [Choose ] [Choose ]Q1: Compare and contrast between SECI vs Wiig knowledge mangamnt models. Justify your answer by explaining how are they complementary? Are they complete – would you add any components from those models that you did not select? What are some of the obstacles you would expect to encounter and how would you overcome them to implement each of them?PLEASE HELP with correct answers A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 2 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615