Example 20.13 The following table gives prices and quantities for the base year and the current year forthree commodities:CommodityPo90P191RsUnitsRsUnits10A15152020B20303025304540CCalculate the value index for the current year.

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Answered: Example 20.13 The following table gives…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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> Question Completion Status: The following is a Time Series of Two Years (2019-2020) Seasons Year Sales 4-periods MA Q1 177 Q2 299.28 2019 Q3 304.45 307.81 315.79 318 2020 Q4 Calculate the Actual Sales Year 2020-Q₁ ? Q4 Q1 Q2 Q3 ?
Question 2 The imports of a company were as follows: Price per unit (in Pula) Number of units Product 2012 2022 2012 2022 A 5.00 12.00 2500 2800 B 6.50 14.50 5000 4950 C 10.00 16.00 3500 4300 Use 2012 as base year to calculate: The price index of Laspeyeres. The price index of Paasche. The quantity index of Laspeyeres. The quantity index of Paasche. Hence find the Fishers Price and Fishers Quantity Indexes.
[1.0 10.0 A 2.0 5.0 23.2 4.4 89.4 B = 93.4 9.3 9.1 34.2 5.4 8.2 [9.4 2.0 8.2 C = 5.2 7.5 2.1 a = 5 1 b = 2 Questions 1. Find A" (transpose) 2. Find C" (transpose) 3. Find A (inverse)
Here is civilian unemployment cate 1982-1995 Civilian Unemployment Cate 1982-1995 year 1982 1986 1988 1990 1992 । ११५ Rode 9.7 7.0 5.4 5.5 7.4 6.1 yeRr 1984 1987 198% 1991 1993 1995 Rode 7.5 6.2 5.3 6.7 6.8 5.6 Make deta. dime plot o the
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Example 1 From the data given below, calculate the index number of prices for all the years with reference to 1980 as the base year, using Simple Aggregative Method. Items 1980 1981 1982 1983 Rice wheat 57.2 130.3 51.7 56.4 58.7 60.4 121.3 124.6 50.3 135.5 53.3 Sugar 48.2
Use Fisher 's form find the price index number of the following table: Commodity Unit Base Year Current Year Price Total Value Quantity Total Value $ A 125 Kg. Kg. 12.5 12 156 14 112 135 Metre 11 88 108 Kg. 13 78 6 90
Example 20.22 Splice the two indices with base-year 1990 = 100. Year Index 1990 100 1991 110 1992 120 1993 130 1994 150 1995 X₁ 1996 X2 1997 X3 (Base 1994 = 100) 100 120 150 180
d. Predict the amount of new solar power that will be installed in 2013. Do you have much faith in your prediction? Explain, Round to the nearest tenth as needed.) O A. It is predicted that megawatts of new solar power will be installed in 2013. Since the model fits the data points, it is reasonable to assume that this value will be relatively accurate. OB. It is predicted that relatively accurate. megawatts of new solar power will be installed in 2018. Since 2013 is inside the domain of the given data, it is reasonable to assume that this value will be OC. It is predicted that megawatts of new solar power will be installed in 2013. Since the model does not fit the data points, there should be little or no faith placed in the accuracy of this value. OD It is predicted that megawatts of new solar power wvill be installed in 2013, Since 2013 is outside the doman of the given data, there should be ittle or no faith placed in the accuracy of this value. Click to select and enta
Carbon foot print: Carbon dioxide (CO, is produced by burning fossil fuels such as oil and natural gas, and has been connected to global warming. The following table presents the average amounts (in metric tons) of CO, emissions for certain years per person in the United States and per person in the rest of the world. Year Non-U.S. U.S. 1990 3.6 19.2 1992 3.5 18.8 1993 3.3 19.7 1994 3.3 19.8 1995 3.3 19.5 1997 3.4 20.0 1998 3.3 19.5 Source: World Bank Send data to Excel Part: 0 / 3 Part 1 of 3 Compute the least-squares regression line for predicting U.S. emissions from non-U.S. emissions. Round the slope and y- intercept to at least four decimal places. Regression line equation: y =
Statistics Index Numbers
Boran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Stock A B C Stock D A B C D Industry Oil Computer Steel Real Estate January Year 1 Quantity 100 Need Help? Read It 150 75 50 Price per Share ($) March Year 1 Base 29.50 January Year 3 Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Price Relative 22.75 16.00 March Year 3 65.00 49.00 49.50 22.50 40.00 31.00 29.50 6.50 2.75 Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.) Ijan = IMar =

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Example 20.13 The following table gives prices and quantities for the base year and the current year for three commodities: Commodity Po 90 P1 91 Rs Units Units 10 15 20 20 20 30 30 25 40 Calculate the value index for the current year.. ABC А Rs 15 30 45