Assume that the payoff table provides cost rather than profit payoffs. What is the recommended decision using: Optimistic, Conservative, Minmax Regret, And Laplace Method
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Assume that the payoff table provides cost rather than profit payoffs. What is the recommended decision using: Optimistic, Conservative, Minmax Regret, And Laplace Method
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- 4) Conduct a hypothesis test on H0: slope = 0; Ha: slope positive or negative (your hypothesis from part 2). Using α = 0.05, is there a significant linear relationship between x and y (paste your output to support your answer)? What is the linear model (y = mx + b, fill in the numbers for m and b)? In the context of the problem, what is the interpretation of the slope, m? Select Stat menu option across the top and then select Regression -> Simple Linear Enter your x and y variables Under the hypothesis test section go to Ha slope and specify the direction of the relationship (< or >) Select Compute sodium protein 130 1015 2260 9140 14200 1180 1.5125 1210 2200 4210 5220 0290 2210 0140 2180 0280 0290 190 1180 0140 480 1220 1140 2190 1125 1200 10 3160 5240 5135 045 0280 0140 3170 375 3220 1250 1.5180 0170 1170…The article "A Robust Optimization Approach for the Capacitated Vehicle Routing Problem with Demand Uncertainty" (I. Sungur, F. Ordonez, and M. Dessouky, IIE Transactions, 2008:509-523) discusses methods to reduce transportation costs while satisfying demands. In one study, the percent demand that is unmet (y) and the percent of vehicle capacity (x) needed to meet the expected demand were recorded for 27 different scenarios. The results are presented in the following table. х У 0.5 82 0.0 0.7 1.3 0.8 11 0.9 1.2 1.3 0.2 0.8 1.4 0.9 1.4 0.4 1.7 93 11 93 0.8 90 0.3 0.2 1.0 1.0 89 1.0 93 1.3 91 1.3 94 1.2 94 0.7 Compute the least-squares line for predicting unmet demand (y) from vehicle capacity (X). b. Compute 95% confidence intervals for B, and B,- Predict the unmet demand when the vehicle capacity is 93%. d. a. c. Find a 95% confidence interval for the mean unmet demand when the vehide capacity is 93%. Find a 95% prediction interval for the unmet demand for a scenario whose vehicle…A consulting group recently conducted a global survey of product teams with the goal of better understanding the dynamics of product team performance and uncovering the practices that make these teams successful. One of the survey findings was that 32% of organizations have a coherent business strategy that they stick to and effectively communicate. Suppose another study is conducted to check the validity of this result, with the goal of proving that the percentage is less than 32%. Complete parts (a) and (b) below. a. State the null and research hypotheses. Identify the null and alternative hypotheses. O A. Ho: as0.32; H,: a>0.32 O B. Ho: 120.32; H: <0.32 OC. Hoi a#0.32; H: =0.32 O D. Ho: 1=0.32; H4: n#0.32 b. A sample of 200 organizations is selected, and results indicate that 58 organizations have a coherent business strategy that they stick to and effectively communicate. Use the p-value approach to determine at the 0.05 level of significance whether there is evidence that the…
- Short Case:2 Annual sales of Macro company as follows: Year 2016 2017 2018 2019 2020 Sales (in Millions) 200 250 300 350 400 a) Find the trend values for the years 2019 and 2020 by using the method of least squares. b) Estimate the annual sales for the years 2021 and 2022.: 39% in 30m 20 CALENDAR Travel to Home Today at 11:02 PM Green Street f... Lumen... Sign In or School.. ohm Rukayat Balogun오 | User Settings My Classes Log Out ork manager ges Forums Calendar Gradebook 1:30am Fall 2018> Assessment pplications of Systems of Equations Due in 11 hours, 28 minutes. Due Fri 12/21/2018 10:00 am Monico needs to mix a 10% alcohol solution with a 50% alcohol solution to create 100 milli!eters of a 26% solution. How many millileters of each solution must Monico use? Answer: Monico must mix -milli!eters of 10% solution and milli!eters of 50% solution. Points possible: 1 Unlimited attempts License Submit on(b) Estimate the least squares linear equation for R&D Expense on Assets. Interpret the fitted intercept and slope. Be sure to include their units. Note if either estimate represents a large extrapolation and is consequently not reliable. Complete the equation for the fitted line below. Estimated R&D Expense ($000,000) =.....+.....Assets ($000,000)
- d and e3. Consider the following regression model: Weekly Hours = Bo + B1 × Wage + uj Weekly Hours is the average number of hours the individual worked over the course of the year and Wage is the individual's average hourly wage over the course of the year. A researcher who collects data and regresses Weekly Hours against Wage finds that B1 > 0. The OLS estimator, B, however, likely suffers from omitted variable bias because those individuals who earn high wages may be driven personalities who would work long hours no matter the wage. Because of this omitted variable bias, it is likely the case that B1_B1. A) В)3) Two suppliers are bidding for a customer's business. Both are similar in cost, percentage of on-time deliveries, etc. The final decision will be based on which supplier provides the "best" quality. The process outputs for suppliers A and B are displayed below. Supplier A's process has half the variation as B's, but is centered halfway between the middle of the tolerance and the USL, with 0.1% above the USL. Supplier B, on the other hand, is centered exactly at the middle of the tolerance, with 0.1% of its output outside each of the two specifications. Other estimates: SD (A): 0.809 SD (B): 1.618 Supplier A 52.5 Supplier B Supplier A has 0.5% 0.5% defects 0.25% 0.25% Supplier B has 0.25 % defective both sides LSL-45 50 USL-56 Questions 3||3a) What is the Cp of Supplier A? 4||3b)What is the Cp of Supplier B? 5||3c) What is the Cpk of supplier A? 6||3d) What is the Cpk of Supplier b? 7||3e) Who should get the bid award? 8||3f) Per 1000 products, how many good products has Supplier A…
- Movieflix, an online movie streaming service that offers a wide variety of award-winning TV shows, movies, animes, and documentaries, would like to determine the mathematical trend ofmemberships in order to project future needs. What is the nature of the relationship between advertising expenditure and membership? Forecast 2024 membership using an alternative method, clearly explaining the limitations of your selected method. What are the limitations of the method used in (iii)?An article in Technometrics by S. C. Narula and J. F. Wellington ["Prediction, Linear Regression, and a Minimum Sum of Relative Errors" (Vol. 19, 1977)] presents data on the selling price and annual taxes for 24 houses. The data are shown in the following table. Xis taxes paid. Taxes (Local, School), Price/1000 County)/1000 Sale 25.9 4.9176 29.5 5.0208 27.9 4.5429 25.9 4.5573 29.9 5.0597 29.9 3.8910 30.9 5.8980 28.9 5.6039 35.9 5.8282 31.5 5.3003 31.0 6.2712 30.9 5.9592 (a) Assuming that a simple linear regression model is appropriate, obtain the regression equation applicable and compute for the coefficient of determination. (b) Test the significance of the correlation coefficient. (c) Find the mean selling price given that the taxes paid is 6.111. (d) Construct a 95% Confidence Interval for the mean selling price computed in (C). Use the editor to formot your answerPhoebe gathers data and estimates many di¤erent regression models. All of them suggest that children who have more books at home have fewer cavities. Phoebe doesnt think this result is important because: a.) There is clearly selection bias, kids who have lots of books at come from higher income and better educated families.b.) The data on cavities is certainly heteroskedasticc.) Phoebe only used ordinary least squares in her model, should have used weighted least squares d.) Phoebe didnt use a high enough con dence level