Suppose the table below lists the price and consumption levels of food and clothing during 2015 and 2020, where 2015reflects the base year relative to current prices in 2020. Year Prices Consumption Food Clothing Food Clothing2015 2675 9480 500 300 2020 2250 11560 650 260 1.1 State the formulas for a Laspeyres Index and Paasche Indexgiven the data provided. (Hint: Refer to the definitions} (2) 1.2 Based on your answer in Q1.1, calculate (a) the LaspeyresIndex and (b) the Paasche Index. (3)

Suppose the table below lists the price and consumption levels of food and clothing during 2015 and…

Answered: Suppose the table below lists the price…

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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TABLE 1: An economist at Nedbank ran a study of the relationship between FTSE/JSE All Shares index retu (JALSH) and consumer price index (CPI) from 2006 to 2017, the data collected is shown in the Tal below. FTSE/JSE All Shares index return (JALSH) and consumer price index (CPI) from 2006 to 2017. CPI (X) 4.7 7.1 11.5 7.1 4.3 5.0 5.6 5.7 6.1 4.6 6.4 5.3 Year 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Question 1 Use Table 1 above to answer this question JALSH (Y) 0.41 0.19 -0.23 0.32 0.19 0.03 0.27 0.21 0.11 0.05 0.00 0.21 Q.1.1 The estimated regression equation with dependent variable FTSE/JSE All Shares index return (JALSH) and independent variable consumer price index (CPI) was Q.1.1.1 Calculate Bo JALSH, =B₁ + B₂CPI¡
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Below is data collected over 6 specific years. The data collected is the Consumer Price Index (CPI) and the cost of a slice of tuna. We would like to build a model using the CPI to predict the cost of a slice of pizza in a given year. Year 1960 1973 1986 1995 2002 2003 CPI (x) 30.2 48.3 112.3 162.2 191.9 197.8 Cost of a slice of tuna(y) 0.15 0.35 1.00 1.25 1.75 2.00 Plot the data. Are we justified in creating a Linear Regression model to predict the price of a pizza slice using the CPI? Why or why not? Calculate the descriptive statistics. Calculate the sums of squares Calculate the slope, intercept, and correlation. What is this correlation value telling us? Assemble the prediction equation, and interpret the slope within the context of the problem. State the hypotheses for the hypothesis test for regression.
The marketing manager of "ABC Tapes" wants to assess the competitiveness of the company's product in the market. Table 1 represents the prices and quantities of blank cassette tapes sold in January 2016 and January 2020. TABLE 1 2016 2020 Length of tapes Price Quantity Price Quantity 30 minutes R 4.00 32 R 5.60 40 60 minutes R 4 30 150 R 6.15 190 90 minutes R 4.60 100 R 7.40 130 Using 2016 as base and calculate for 2020 the following: Determine the Laspeyres price index: a) 149.492 Ob) 149.367 Oc) 66.949 d) 66.893
2. Which of the following statements is false? Explain your answer. A. A price index can be used to compare changes in prices over time. B. A graph of the average monthly price of gas is an example of an index. C. Price index values are often calculated relative to a base value at a certain point in time or in a certain place. D. Index values can be greater than 100.
From the following data compute the consumer price Index for the year 1998 w.r.t. the price level of 1997. Food Items Food Rent Clothing Fuel Weight Percentage of increase in prices over the price of 1997 Misc. 7.5 2 2.5 Rice Whe Pul 3 1 50 60 40 20 30
Use the most accurate method to forecast the revenues of licenses, permits, and fees in Years 9, 10, and 11. Use the Year 8 actual figure instead of the forecast figure (Year 8 was $23,210,218). Also, consider three incremental changes in forecasting.
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Below is a table containing data on product demand for the most recent three months along with the forecasts that had been made for those three previous months. Calculate the MAPE. Month Demand Forecast 1 308 310 388 390 344 342 2.
Illustration 13.1. Construct index numbers of prices from the following data using (a) Laspeyre's (b) Paasche's (c) Marshall and fEdgeworth, and (d) Fisher's methods. 1960 1970 Commodity Price Qиantity Price Quantity A 4 50 10 40 3 10 9. 2 C 4 2
The following table shows the average monthly production of coal in tonnes for the year 2010-2019. Year Production (in tonnes) Year Production (in tonnes) 2010 50.0 2015 38.1 2011 36.5 2016 32.6 2012 43.0 2017 41.7 2013 44.5 2018 41.1 2014 38.9 2019 33.8 Compute the price indices from 2010 to 2019 by taking 2019 as the base year. Compare the price of 2014 and 2017. What is the percentage (%) change in the production from 2016 to 2019?

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