I llustration 13.2. Construct index number of prices from thefollowing data using (a) Laspeyre's (b) Paasche's (c) Marshall andEdgeworth and (d) Fisher's methods.19601970PriceQuantityPriceQuantityCommodityPoP16.501056B2100120C46060D103012248.401236

Answered: Image /qna-images/answer/39b609df-82b8-4319-aea0-84a229d79064.jpg

Answered: llustration 13.2. Construct index…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The following table reports prices and usage quantities for two items in 2009 and 2011. (Round your answers to the nearest integer.) Quantity Unit Price ($) Item 2009 2011 2009 2011 A 1,500 1,800 7.50 7.55 B 2 1 650.00 1,500.00 (a) Compute price relatives for each item in 2011 using 2009 as the base period. Item Price Relative A ? B ? (b)Compute an unweighted aggregate price index for the two items in 2011 using 2009 as the base period. I2011 = ?? (c)Compute a weighted aggregate price index for the two items using the Laspeyres method using 2009 as the base period. I2011 = ?? (d)Compute a weighted aggregate price index for the two items using the Paasche method using 2009 as the base period. I2011 = ??
A certain manufacturing company has the following data on quantities shipped and unit costs for each of its four products. Mean Shipping Cost per Unit ($) Base-Period Quantities (Year 1) Products Year 1 Year 5 A 1,500 10.50 15.90 B 5,000 16.25 33.00 6,000 12.20 17.40 D 2,500 20.00 35.50 Use the price data to compute a Paasche index for the shipping cost if year 5 quantities are 4,500, 3,000, 7,000, and 3,000 for products A, B. C. and D, respectively. (Round your answer to the nearest integer.)
A certain manufacturing company has the following data on quantities shipped and unit costs for each of its four products. Mean Shipping Cost per Unit ($) Products Base-Period Quantities (Year 1) Year 1 Year 5 A 1,500 10.50 15.90 B 5,000 16.25 31.00 с 6,500 12.20 18.40 D 2,500 20.00 35.50 Use the price data to compute a Paasche index for the shipping cost if year 5 quantities are 4,500, 3,000, 8,000, and 3,000 for products A, B, C, and D, respectively. (Round your answer to the nearest integer.) 15 = 168 X Submit Answer
Q1. The table provided gives data on indexes of output per hour (X) and real compensation per hour (Y) for the business and nonfarm business sectors of the U.S. economy for 1960–2005. The base year of the indexes is 1992 = 100 and the indexes are seasonally adjusted. a. Plot Y against X for the two sectors separately. b. What is the economic theory behind the relationship between the two variables? Does the scattergram support the theory? c. Estimate the OLS regression of Y on X. Note: on the table ( 1. Output refers to real gross domestic product in the sector. 2. Wages and salaries of employees plus employers’ contributions for social insurance and private benefit plans. 3. Hourly compensation divided by the consumer price index for all urban consumers for recent quarters.) Thank you!
A certain manufacturing company has the following data on quantities shipped and unit costs for each of its four products. Products Base-PeriodQuantities (Year 1) Mean Shipping Costper Unit ($) Year 1 Year 5 A 1,500 10.50 15.90 B 5,000 16.25 32.00 C 7,000 12.20 18.40 D 2,500 20.00 35.50 Use the price data to compute a Paasche index for the shipping cost if year 5 quantities are 4,000, 3,000, 7,500, and 3,000 for products A, B, C, and D, respectively. (Round your answer to the nearest integer.) I5 =
Mark the critical points on the following graph. ,0.1 0.1 0.9+ 0.8- 0.7+ 0.6 0.5 0.4 10.3 .2
6. An economist studies the relationship betweenthe price (x) and weekly demand (y) of a certainproduct. Assume the SLR model utility test findsevidence of a linear relationship between priceand demand. Find the appropriate intervalestimate for the mean demand for all weekswhen the price is $31. We know: n = 5 , X-bar = 30,sx2 = 10 , MSE = 12.1 , and Y-hat = 181 − 2.7x.
Caiculate (i) Laspeyres' index, (ii) Paasche's index, (iii) Fisher's Ideal index, (iv) Marshall- Edgeworth index, for the following dairy products Quantities Produced 2007 Prices Dairy Products 1998 (base) 1999 2007 1998 1999 Milk 3.95 3.89 4.13 9.675 9,717 10,436 Butter 61.50 62.20 59.70 118 116 116 Cheese 34.80 35.40 38.90 78 78 83
Example 20.16 Calculate price index number for the year 1996 with 1986 as the base year from the following data using: (i) Laspeyres index, (ii) Paasche index and (iii) Fisher's index 1986 1996 Commodity Unit Price (Rs) Value (Rs) Qty. Consumed Value (Rs) A 10 1,500 160 1,760 kg kg B 12 1,080 100 1,300 Metre 15 900 60 960 Packets 9 450 40 480 CD с D
The following data are the monthly starting salaries and the Grade Point Averages (GPA) of business graduates who have obtained a first degree in accounting. x: GPA y: Monthly Salary ($) 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.
27(b) Calculate the Cost of Living Index Number using the weighted geometric mean : Weights Group (1) Food F (2) Fuel and lighting Index Number 350 10 150 59 (3) Clothing 200 150 2 (4) House rent (5) Miscellaneous 225
1. A study of the relation between the waistline and percent body fat in men yielded the data shown (waistline measurement in inches). waistline (x) 34.7 46.5 32.8 41.3 29.8 39.3 35.7 29.0 percent fat (y) 21.8 33.6 13.4 27.1 13.7 30.2 18.5 11.2 x = 36.1375 y = 21.1875 SSxx = 248.53875 SSay = 332.67375 SSyy = 494.30875 (a) Find the proportion of the variability in percent body fat that is accounted for by the size of the waistline. Explain fully. (b) Find the regression line for predicting y from x. (c) Construct a 95% confidence interval for the average percent body fat of all men whose waistline size is 34.0 inches. (d) test HO: Beta1 is 0 vs. Ha : Beta1 is not 0, compute the appropriate test statistic and p-value, then make your decision at a = 0.05. (e) Construct a 90% confidence interval for beta1. (f) Compute a 90% confidence interval for the average percent fat when waistline is 35.

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

llustration 13.2. Construct index number of prices from the following data using (a) Laspeyre's (b) Paasche's (c) Marshall and Edgeworth and (d) Fisher's methods. 1960 1970 Price Quanti ry Price Оиantity Commodity Po P1 A 6 S0 10 56 B 2 100 2 120 4 60 6 60 D 10 30 12 24 E 8 40 12 36