2. Consider the following manual simulation of machine breakdowns and repair.Time betweenbreakdowns,Repair time,y (days)CostBreakdownsx (weeks)($2,000 y)14$2000$4000125.735.5$4000$200042.5155.2$4000$4000$20005.871.682.3$4000$4000$400091.2103.3What operating characteristics can be obtained from this simulation?N/21222

Answered: Image /qna-images/answer/12807e9b-4cef-4856-8262-4834da9e2456.jpg

Answered: 2. Consider the following manual…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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rience. Question Three The following data represent the net profits made by a sample of 25 companies that operate in real-state sector. 56 97 78 61 79 93 84 76 58 92 89 96 42 44 85 77 53 88 62 84 62 82 75 95 89 1) Choose the best graphical presentation and justify your answer. 2) Based on your answer in (1), construct the selected graphical presentation and comment on the results. Based on your answer in (2), do you think the sector performance is satisfactory? Justify your answer.
Suppose you are the marketing manager of a firm, and you plan to introduce a new product to the market. You have to estimate the first year net profit, which depends on several variables • Sales volume (in units) • Price per unit • Unit cost . Fixed costs Your net profit is net profit = sales volume x (price per unit-unit cost) - fixed cost The fixed cost is $120, 000, but other factors have some uncertainty. Based on your market research, there are equal chance that the market will be slow, ok, or hot. • Slow market the sales volume follows Poisson distribution with mean 50,000 units product, and the average price per unit is $11.00 ● Ok market the sales volume follows Poisson distribution with mean 75,000 units product, the average price per unit is $10.00 Hot market: the sales volume follows Poisson distribution with mean 100,000 units product, but the competition is severe so you expect the average price per unit is just $8.00 No matter what the market type is, your average unit…
1. Suppose that you estimate a model of house prices to determine the impact of having beach frontage on the value of a house.14 You do some research, and you decide to use the size of the lot instead of the size of the house for a number of theoretical and data availability rea- sons. Your results (standard errors in parentheses) are: PRICE; = 40 + 35.0 LOT¡ – 2.0 AGE; + 10.0 BED; – 4.0 FIRE; (1.0) (5.0) (10.0) (4.0) (10) N = 30 R2 =.63 where: PRICE¡ =the price of the th house (in thousands of dollars) =the size of the lot of the th house (in thousands of square feet) = the age of the th house in years =the number of bedrooms in the th house =a qualitative/dummy variable for a fireplace (1 = yes for the th house) LOT; AGE; BED; FIRE; a. You expect the variables LOT and BED to have positive coefficients. Create and test the appropriate hypotheses to evaluate these expectations at the 5-percent level. b. You expect AGE to have a negative coefficient. Create and test the appropriate…
Example 12.8. A firm uses milling machines, grinding machines and lathes to pro- duce two motor parts. The machining times required for each part, the machining times avail- able on different machines and the profit on each motor part are given below : Machining time reqd. for the motor part Max. time available per Type of machine (mts) week (minutes) I II 10 2,000 Milling machines Grinding machines Lathes. 2 900 12 3,000 Profit/ unit (Rs.) 100 40 Determine the number of parts I and II to be manufactured per week to maximize the profit. د ه
Question 4 A company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. (profit) = bo + b₁XRISK + b₂XR&D + b₂XWc + b₁XEC + b₂XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR (X) = 2573.72, SSR(x₁) = 2600.7,…
9. Is a Linear Model Appropriate? The number, in thousands, of bacteria in a petri dish is given by the following table. Time is measured in hours. 27This is taken from the Statistical Abstract of the United States and in
A biscuit production manager wants to investigate the linear relationship between the number of items produced and the production cost. To pursue his/her objective, the manager recorded the data on the number of items produced per day and the production cost per day (in thousands of Malaysian Ringgit) as shown in Table 3 Table 3 Days 1 2 4 6. 7 8 10 11 Number of items, (x) 26 67 86 17 10 44 53 40 77 80 20 20 Production cost, (y) 21 60 69 47 50 | 98 39 55 85 104 37 20 a) Name the TWo (2) most popular correlation coefficients. OPearson Oz-table OT-table Ochi-square Ospearman b) Calculate the correlation coefficient, r. ху x2 y2 26 21 676 44 60 2640 1936 3600 53 69 3657 2809 4761 47 1880 2209 77 50 3850 5929 2500 80 98 7840 6400 9604 20 39 780 400 1521 20 55 1100 400 3025 67 5695 4489 7225 86 104 8944 7396 10816 17 37 629 289 1369 10 20 200 100 400 E y² = Σχ ΣΥ- Σχy- Ex? = || || **Answer should be up to 4 decimal place (dp) r = c) Based on the correlation coefficient, robtained, make a…
Yaster Breakfast Supplies is planning to manufacture and market a new toaster. After conducting extensive market surveys, the research department provides the following estimates: • a weekly demand of 318 at a price of $13 per toaster • a weekly demand of 201 at a price of $16 per toaster The financial department estimates that weekly fixed costs will be $1,399 and variable costs (cost per unit) will be $3. Assume: • the relationship between price and demand is linear • the cost function in linear Use your models to predict the marginal profit when Yaster is producing and selling 271 toasters per week. Round to the nearest cent. $ per toaster
> A Moving to another question will save this response. Question 3 The input-output table for a two-sector economy is given as follows: Input to Sector input to Sector Final Demand Total output Output from Sector X 600 400 200 Output from Sector Y 600 200 Value Added Total Input Total Output for sector X = 1200 Total Output for sector X= 1000 Total Output for sector X = 200 Total Output for sector X= 1220
I need expert advice please especially with the graph. The table below shows monthly data collected on production costs and on the number of units produced over a twelve month period. Month Total Production Costs Level of Activity(Units Produced) July $230,000 3,500August 250,000 3,750September 260,000 3,800October 220,000 3,400November 340,000 5,800December 330,000 5,500January 200,000 2,900February 210,000 3,300March 240,000…
An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…
3. In the following example, a cohort of six individuals was followed for 100 days after an outbreak of a viral infection in a hospital ward. The graph below shows how many days each subject remained in the study as a non-case (not infected). Those who completed the study as non-cases reached 100 days - the rest fell ill and did become cases. Since we know person-time is used to determine the amount of time at risk, calculate the total time contributed by all six subjects in this study. Note for submission: please make sure to include your units and interpretation in your Worksheet so you have it for review for the midterm, even if Blackboard doesn't allow for this information to be included in your submitted answer! Calculating Person-days F 64 E 100 D. 100 37 55 12 20 40 60 80 100 Days

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