Relative Penalty7Relative BenefitValue %EstimateCost %FeatureFeature 1Total ValuePriority1517Feature 2Feature 3Total13581914100100Using Relative Weighting method to fill the missing data in the above table.

Answered: Image /qna-images/answer/00ccba16-fdc6-4e07-a417-6970f95ab17c.jpg

Answered: Feature Relative Benefit Relative…

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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RequiredPage 92 The company uses the number of professional hours as the cost driver for office support costs. Use an algebraic equation to describe how total office support costs can be estimated. Use a spreadsheet program to perform a regression analysis. Use office support costs as the dependent variable (Y) and the professional hours as the independent variable (X). Determine the total fixed cost per office and variable cost per professional hour. Identify the R2 statistic provided by the Excel program and explain what it means. Mr. Dean plans to open a new branch office in a Dallas suburb. He expects that the monthly professional hours will be 3,000. Estimate the total office support cost for Mr. Dean. What portion of the total cost is fixed and what portion is variable? Explain how multiple regression analysis could be used to improve the accuracy of the cost estimates. *You will use excel to setup a worksheet with your data and run regression analysis.*
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Month Actual demand Forecasted Demand 1 950 1000 2 1070 1000 3 1100 1000 4 960 1000 5 1090 1000 6 1050 1000 For the dataset above, compute the overall MAPE.
The owner of Showtime Movie Theaters, Inc., would lke to predict weekly gross revenue as a function of advertising expenditures Historical data for a sample of eight wecks follow Weekly Gross Revenue ($1,000s) Television Advertising ($1,000s) Newspaper Advertising ($1,000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 The owner then used multiple regression analysis to predict gross revenue (y), in thousands of dollars, as a function of television advertising (x), in thousands of dolars, and newspaper advertising (x,), in thousands of dollars. The estimated regression equation was = 83.2 + 2.29x, + 1.30x. (a) What is the gross revenue (in dollars) expected for a week when $5,000 is spent on television advertising (x5) and $1,500 is spent on newspaper advertising (, 1.5)? (Round your answer to the nearest dollar.) $06600 (b) Provide a 95% confidence interval (in dolars) for the mean revenue of all weeks with the expenditures listed in part (a).…
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Use this dataset for your analysis software. Cost-to-charge ratio (the percentage of the amount billed that represents the actual cost) for inpatient and outpatient services at 11 Oregon hospitals is shown in the following table. A scatterplot of the data is also shown. Hospital 1 2 3 O No 4 5 6 7 8 9 10 11 No No 100 90 80 70 60 50 Cost-to-Charge Ratio Outpatient Inpatient Care Care 45 62 66 63 51 75 65 56 45 48 71 54 å Inpatient 55 80 76 75 62 100 88 64 50 54 83 100 65 Outpatient The least-squares regression line with y = inpatient cost-to-charge ratio and x = outpatient cost-to-charge ratio is ý = -1.1 + 1.29 x. (a) Is the observation for Hospital 11 an influential observation? Yes (b) Is the observation for Hospital 11 an outlier? Yes 75 (c) Is the observation for Hospital 5 an influential observation? O Yes O No (d) Is the observation for Hospital 5 an outlier? O Yes O No
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Feature Relative Benefit Relative Penalty Total Value Value % Estimate Cost % Priority Feature 1 Feature 2 Feature 3 Total 15 15 1 17 35 9 14 100 100 Using Relative Weighting method to fill the missing data in the above table.