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

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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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Fat (9) 31 39 19 34 43 39 35 Calories 580 680 410 590 | 660 640 570 8. Make a scatter plot of the data. 700 650 * 600 550 500 450 400 O 10 20 30 40 50 x Fat (g) Desertee the COFrelation Use technology to find the equation of the best-fitting line for the data. Graph the best-fitting line for the data on the scatter plot. Predict the number of calories in a hamburger that contains 34 grams óf fat. Calories
Using the table below, what is your forecast for week 11 using a three-week weighted moving average with weights of 0.30 for the most current time period and 0.2 for the oldest time period? Week Sales 1 110 115 125 4 120 5 125 120 7 130 8. 115 9. 110 10 130 2.
Suppose the general manager of a company is asked to run a report to determine the educational background of employees at his company by age. The table displays the required information. Complete the table by filling in each marginal distribution for educational background and for age. Give your answer as a percentage, rounded to the nearest whole number. You may click to download the data in your preferred format if you wish. CrunchIt! CSV Excel JMP Mac Text Minitab PC Text R SPSS TI Calc Associate Bachelor's Master's Distributiony degree degree degree by age (pct) Under 30 31 10 % 31 – 45 19 20 15 % Over 45 8 7 5 % Distribution % % by degree (pct)
Please answer the last 2 parts of the question: Is the actual value above, below or on the line? What is the interpretation of the residual? Thanks!
Because the total population in 2050 is much larger than the Comparison of Population in the United States in 1950 and 2050 (in millions of persons) 1950 population, comparing percentages in each age group is clearer than comparing counts. Make a table of the Age Group 1950 2050 percentage of the total population in each age group for both Under 10 years | 29.3 | 56.2 1950 and 2050. 10 to 19 years 21.8 || 56.7 Only one age group in 1950 represents a larger percentage of the population than it does in 2050. For that age group, 20 to 29 years | 24.0 | 56.2 30 to 39 years | 22.8 | 55.9 determine the difference of the percentages between 1950 and 2050. Report your answer to the tenth of a percent. 40 to 49 years 19.3 52.8 50 to 59 years 15.5 || 49.1 60 to 69 years| 11.0 | 45.0 70 to 79 years 5.5 34.5 difference in percentages: % 80 to 89 years 1.6 | 23.7 90 to 99 years 0.1 8.1 100 years and 0.6 over Total 151.1 310.6
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Household Income Please note that the buckets used in this visualization were not evenly distributed by ACS when publishing the data. SHARE 14% 12% 10% 8% 6% 4% 2% 0% < $10k $10k - $15k - $20k - $25k-$30k - $35k-$40k - $45k-$50k - $60k - $75k - $100k $125k $150k $15k $20k $25k $30k $35k $40k $45k $50k $60k $75k $100k Data from the Census Bureau ACS 5-year Estimate. 2013 2014 2015 2016 2017 (a) more than $50K but less than $100K? (b) at least $30K? Clark County, WA (c) no more than $125K? United States What is the probability that the annual income of a randomly selected household in Clark County is: L 2018 2019 2020 2021

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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.