From the following data find out (i) purchasing power of money, (ii) realincome, and (iii) real income indices relating to a worker :1989Year:Income :Price indices :Year:Income :Price Index :1990199119921993200025003600400045001001201401501601994199519961997199855006000720075008000250300400500550CS Scanned with CamScanner

Answered: Image /qna-images/answer/5c4f0f42-0714-4e87-a744-40bcf5938ecf.jpg

Answered: From the following data find out (i)…

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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Plot 2 Out-of-State Tuition 20000 15000 10000 5000 Plot 2: Distribution of Out-of-State Tuition Based on Expenditure Category Above Average Expenditure Expenditure Category Below Average Expenditure
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 following data are the monthly starting salaries and the Grade Point Averages (GPA) of business graduates who have obtained a first degree in accounting. x: GPA y: Monthly Salary ($) 2.1 2.5 3.3 3.5 3.1 3.6 2.8 1.9 3.5 19,000 18,000 21,000 25,000 20,000 24,000 21,000 24,000 17,000 Suppose that you want to build a simple linear regression model to relate x and y, as follows: y = Bo + Box + (a) Use the least squares method to determine the sample estimates, bo and b₁ of the population regression parameters, B and B₁. You need to apply the relevant formulae and show your calculation details. (b) (c) Write down the fitted regression equation and specify the valid range of the equation. Forecast the starting salary for a graduate with GPA= 3.7. Do you think that such a forecast is reliable? Justify your answer briefly.
Only 2.4
Q. 4.
b) The following information on the performance of three funds A, B and C in Australia. Average Standard return deviation Fund (%) (%) Beta Market ?? Risk-free rate Fund A 19.50 10.75 0.873 Fund B 28.65 14.82 1.251 Fund C 25.70 12.33 1.005 (i) Use the data provided on Canvas to calculate the average annual return of the market (ASX/S&P200). Find a proxy for the risk free rate in Australia and explain your reasoning.
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2009 Seafood 2000 Qty. (lb) Price ($/lb) Price ($/lb) Halibut 75,190 2.01 2.43 Lobster 83,180 3.72 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna L (b) decimal place.) pute a weighted aggregate price index for the seafood catch. (Round your answer to 2009 = Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have increased by % over the 9-year period according to the index.
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
Price elasticity of demand (supply) or simply elasticity of demand (supply) measures the relative or percentage variation experienced by the quantity demanded (supplied) as a consequence of a change in the price of one percent (1%); In other words, it measures the intensity with which buyers (sellers) respond to a change in the priceprice. Elasticity is often used with respect to the price-demand relationship or the price-supply relationship, but the applicability of this concept is not restricted to that single case, but is broader, since the elasticity is calculated in percentages, since it is the only way to obtain a common unit of measure. When calculating the elasticity in arelationship, the units of measurement are maintained, therefore, they do not measure a proportional change, but a propensity, such as the well-known propensit to Keynesian consumption. The rate at which the selling price changes and from a product, with respect to its supply "x", is given by the following…
The below data represent the advertising expenditure and sales of Little Liu Ltd from year 2008 to 2017. Table: Advertising Expenditure vs. Sales from 2008 to 2017 Year Advert. Expenditure Sales (x, £000) (y, £000) 2008 8 30 2009 12 40 2010 11 29 2011 5 29 2012 14 43 2013 3 17 2014 6 20 2015 8 30 2016 4 22 2017 9 40 Total 80 300 Figure: Scatter Diagram of Advertising Expenditure and Sales with Trend line ( See picture) What is the statistical relationship shown in the Figure and list out 3 characteristics of this relationship? 2. Work out the values of parameters of the relationship shown in the Figure (i.e. work out the equation of the relationship). 3.Explain the relationship and make recommendations to Little Liu Ltd based on the information given.
For number 1-6: A cost-of-living index measures the relative cost of living over time or regions. The following data pairs represent the cost of living index for grocery items (A) and health care (B) of the grouped urban areas. Groceries 99 97 110 97.3 114 99 71 91 109 120 127 98 115 105.9 96 8=12.55 S=G.44 1. What is the mean cost of living index for health items? A. 99.82 B. 72.68 C. 106.21 D. 101.34 2. Is the mean cost of living index for grocery higher than the mean cost of living index for health? A. Yes. B. No C. Cannot be determined 3. What is the absolute computed t-value? 2.88 A. B. 1.16 C. 1.34 A. D. 1.89 4. Given the tabulated t-2.306 at 5% level of significance, is the difference significant? A. Yes B. No 5. What is the decision to the problem? A. Accept Ho B. Reject Ho 6. What is the conclusion to the problem? A. 106 96.8 98 There is no significant difference in the mean cost of living indices for grocery and health. B. There is a significant difference in the mean cost of…
Illustration 54. From the following data relating to the average quarterly prices of a commodity obtain the scasonal indices by the method given by prof. Pearson. Also comment on the seasonal indices. Average Quarterly Prices of a Commodity Qrs. II III IV Yr. 1994 30 26 22 31 1995 35 28 22 36 1996 31 29 28 32 25 35 31 36 1997 31 26 33 1998 34

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