Disposable income is the amount left after taxeshave been paid and is one measure of health of theYearIncome ($ billions)201010.436economy. The table gives the total disposableincome for a country, in billions of dollars, forselected years from 2010 and projected to 2040.201511.09520202025203012.62114.10615.986Complete parts (a) through (c) below.203517.932204019.214.....O A. Yes. Each first difference is double the previous first difference for uniform inputs.B. Yes. The first differences are constant for uniform inputs.C. No. The first differences are not constant for uniform inputs.O D. No. The data do not include every year between 2010 and 2040.b. Find a linear model that models the data, where x is the number of years after 2000 and y is the total disposable income in billions ofdollars.(Use integers or decimals for any numbers in the equation. Round to three decimal places as needed.)

Given Data : Let X = number of years after 2000 Y = Total disposable income X Y 2010 10.436…

Answered: Income ($ billions) Disposable income…

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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A manufacturer’s contribution margin income statement for the year follows. Prepare contribution margin income statements for each of the two separate cases below. Unit selling price decreases by 5% and units sold and produced increase by 8%. Hint: A unit increase has both a sales and costs impact. Fixed costs increase by $20,000, variable costs per unit decrease by $2, and units sold and produced increase by 500 Use the table below to figure out the Sales, Variable Cost, Contribution Margin, Fixed Cost, and Income (loss) of each question.
Workers in the U.S. pay several types of taxes on income, including federal income tax. The federal income tax rate is based on the amount of money a worker makes. Income is broken into levels called tax brackets. The table below shows the tax brackets for a single taxpayer in 2019. Tax Brackets for 2022 Taxable income Tax $0 to $10,275 $10,275 to $41,775 $41,775 to $89,075 $89,075 to $170,050 $170,050 to $215,950 $215,950 to $539,900 $539,900 or more 4 Calculate the income tax for a single person earning $25,000 of taxable income. Make sure you write down any work, calculations, or reasoning that you used to get 10% of taxable income $1,027.50 plus 12% of the excess over $10,275 $4,807.50 plus 22% of the excess over $41,775 $15,213.50 plus 24% of the excess over $89,075 $34,647.50 plus 32% of the excess over $170,050 $49,335.50 plus 35% of the excess over $215,950 $162,718 plus 37% of the excess over $539,900
Nominal income refers to an income value that is not adjusted for inflation. Real income adjusts the nominal value for the rate of inflation. Real income per capita is considered a good measure of the buying power of an individual in a particular area because it adjusts for both the number of people in the area and the relative inflation of the area. According to Forbes magazine, the state with the highest annual real income per capita in 2020 is Connecticut with a real per capita income of $68,533. Suppose that the annual real income of individuals in Connecticut follows a normal distribution with a mean of $68,533 and standard deviation of $23,480. (a) What is the probability that an individual in Connecticut has an annual real income of $54,000 or more? (Round your answer to four decimal places.) (b) What is the probability that an individual in Connecticut has an annual real income of $29,000 or less? (Round your answer to four decimal places.) (c) What is the probability…
Which term refers to the capital or the sum of money invested? Final Amount Interest Principal Maturity value
Premise: Price controls (price floor/ceiling) create black markets. 1. Do you agree with this stance? Why? 2. Do black markets affect GDP? Explain your answers with good economic basis.
Region Product Type Item Projected Sales 2022 (in millions) Americas Legacy B 18.6 Americas Legacy B 1.4 Americas Legacy B 9.4 Americas Legacy B 11.6 Americas Legacy B 7.1 Americas Legacy B 8.6 Americas Legacy B 6.9 Americas Legacy B 9.4 Americas Legacy B 8 Americas Legacy B 12.4 Americas Legacy B 16.3 Americas Legacy B 12.4 Americas Legacy B 5.7 Americas Legacy B 8.1 Americas Legacy B 14.6 Americas Legacy B 3.2 Americas Legacy B 13.1 Americas Legacy B 6.5 Americas Legacy B 6.6 Americas Legacy B 14 Americas Legacy B -1.6 Americas Legacy B -5.5 Americas Legacy B 10.5 Americas Legacy B 9.7 Americas Legacy B 5.9 Americas Legacy B 9 Americas Legacy B 7.9 Americas Legacy B 4.4 Americas Legacy B 8.2 Americas Legacy B 2.9 Americas Legacy B 10.6 Americas Legacy B 7.8 Americas Legacy B 5.2 Americas Legacy B 14.4 Americas Legacy B 4.1 Americas Legacy B 7.7 Americas Legacy B 2.6 Americas Legacy B 10.1 Americas Legacy B…
China GDP Year ($ trillions) 2005 2.3 2008 4.6 2011 7.5 2014 10.5 2017 12.0 2020 14.5 2023 17.5 (Source Bloomberg.com U.S. GDP ($ trillions) 13.1 + 14.7 15.5 2032 2035 17.4 19.4 20.6 21.8 China GDP U.S. GDP ($ trillions) 23.2 24.6 26.1 27.7 29.4 30.6 Year ($ trillions) 2026 21.2 2029 25.6 30.9 37.3 2038 45.1 2040 51.1 2. China's GDP vs. United States' GDP I. It is widely predicted that China's economy, mea- sured by Gross Domestic Product (GDP), will even- tually overtake that of the United States. Table 3.17 shows the GDPs for China and the United States from 2005 and projected to 2040 under the assump- tion that China's GDP will grow at an average annual rate of 6.5% and that the United States' GDP will grow at an average annual rate of 2%. Investigate when China's GDP will reach that of the United States under these assumptions about the countries" growth rates by using the following steps. 1. a. Create a scatter plot for the data, with x equal to the number of years after 2000 and…
Exercise 1 Over the years, the Malaysia grocery distribution and sales industry has grown. Today, the total industry sales are in the tens millions of dollars. Major retailer such as DIY and Eco, added food to complement their merchandise sales. For many companies, forecast of industry demand are necessary to plan for short and long term decision. Using time series data below, forecast of monthly industry demand. Month (2020) Month (2021) January February March April May Demand Demand June 138 103 July August September October 131 142 149 122 110 121 175 130 November 194 June 126 December 166 July 140 a) Graph the time series data. What do you observe? b) Compute all possible forecast using exponential smoothing with a smoothing constant of 0.4. c) Compute all possible forecast using exponential smoothing with a smoothing constant of 0.9. d) Compute the MADS for each forecast model. e) What forecast model would you choose? Why? ENG 99 hp
Many factors influence the retail price of gasoline. Suppose the following table shows the average retail price for a gallon of regular grade gasoline for each year from 2011 through 2014. (Round your answers to one decimal place.) Year Average Price ($) 2011 3.531 2012 3.618 2013 3.515 2014 3.348 (a) Use 2011 as the base year and develop a price index for the retail price of a gallon of regular grade gasoline over this four-year period. 2011 price index 100 100.0 2012 price index 2013 price index X X 100.1 2014 price index 100.1 X (b) Use 2012 as the base year and develop a price index for the retail price of a gallon of regular grade gasoline over this four-year period. 2011 price index X 100.0 2012 price index 100 2013 price index 100.0 X 2014 price index 100.1 X
Pop (1000's) Exports in billion $ 22,757 81.2 43,586 30.8 47,904 172.6 40,038 120.5 8,875 95.5 7,283 91.3 66,494 26.9 2,407 46 59,648 282 278,059 776 23,917 32.8 1,029,991 43.1 228,437 64.7 66,129 25 23,332 21.8 3,840 73.5 57,680 241.1 126,771 450 2,041 23.2 5,240 13.9 443 7.6 101,879 168 15,981 210.3 3,864 14.6 126,635 22.2 4,503 59.2 38,634 28.4 10,066 26.1 769 9.8 145,470 105.1
Coca-Cola Revenues ($ millions), 2014 to 2019 Quarter 2014 2015 2016 2017 2018 2019 Quarter 1 10.58 9.94 10.28 9.12 7.63 8.02 Quarter 2 12.57 11.63 11.54 9.70 9.42 10.00 Quarter 3 11.98 11.77 10.63 9.08 8.78 9.51 Quarter4 10.87 10.13 9.41 7.51 5.36 9.07 What is the trend model for the deseasonalized time series? (Round your answers to 2 decimal places.) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.) Use the regression equation to make a prediction for each quarter in 2020. (Enter your answers in millions rounded to 3 decimal places.)
help please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working

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