Find the total production vector for a closed Leontief model with the given input-output matrix.A =AFind the total production vector for an open Leontief model with the given input-output matrix and external demand.0.2 0.3 0.50.5 0.4 0.3[0.3 0.3 0.2=[0.010.2 0.150.15 0.150.250.3 D0.2 0.15101020

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Answered: Find the total production vector for a…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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We are interested in studying cigarette demand by young adults. Lets consider thefollowing model:ncaj = β0 + β1price + β2age + β3income + uwhere ncaj is monthly cigarette consumption in packs, price is the price of a pack ofcigarettes in dollars, age is age in years, and income is annual income in thousandsof dollars. Consider now an extension of the model that allow the effect of theprice to differ by age. Holding all other factors fixed, is the effect of price onncaj constant? (This part is theoretical and you do not have to estimate themodel.)
2. Consider the following data. 1 2 3 4 5 6 7 2 35 150 500 1250 2500 5000 X y Apply the whole modeling process: 1) Consider a modeling assumption and its linearized version Y = AX + B. You may assume that the model is a power function model or an exponential model. 2) Test the suitability of the model assumptions. 3) Develop a model on this basis by determining the model parameters. 4) Test the suitability of your model by comparing it with the original data. Calculate the relative error in % for each data point. Comment on the suitability of your model. 5) Consider the y value at x=2.5. At which x is this value y(x=2.5) increased by 150% according to the model?
Calculate the R square for the estimated model above. Interpret the R square value you have calculated.
STUDENT ID SLEEP (x) HOMEWORK (y) 1 360 30 2 400 45 3 420 60 4 440 15 5 540 75 6 480 120 7 320 80 8 440 60 9 300 90 10 420 30 11 500 60 12 400 20 13 440 60 14 300 30 15 360 80 16 480 100 17 410 25 18 430 15 19 330 60 20 480 30 Calculate the simple linear regression to determine the amount of time spent on homework can be predicted by amount of sleep. Graph the relationship and determine, numerically, if there are any outliers. In a paragraph, interpret all results.
The tolal amount of consumer credit has been increasing steadily in recent years The following fable gives the lotal outstanding consumer credit (in bilons of dolars) Anwer parts (a) through (e) below Consumer Credit 22195 Consumer Credit 25515 26461 27570 20203 3099 2 Year Year 2004 2005 2000 200 2006 2303 8 2415.0 25510 2697.1 2009 2010 2011 2012 2013 Find an equation for the leant squares lne, leting equal the number of years since 2000 The equation in Y (Use integers or deomals for any numbers in the equation Round to two decimal places as needed)
QUADRATIC REGRESSION 1) The following table shows the population in a certain country between the years 1880-1980 (img 1) A. Make the scatterplot and propose the approximating curve. B. Find the equation of the least squares parabola that best fits the data C. Calculate the estimated (trend) values for the data indicated in the table and compare them with the true ones. D. Using the equation, estimate the population in 1990 and 2000. E. Using the equation, estimate the population in 1860 and 1870.
a and b
Find the parameters of the linear model using the least squares method, with the independent variable being the period and the dependent variable being sales. Which of the following is the constant term (a) of the linear model?
Sketch the scatterplot for the table given in the attached image. Then determine if a linear, quadratic, or exponential model is most appropriate.
16. A data set for which an exponential model is a good fit was transformed. The least squares linear function the transformed data is given by y = 0.1862x2.8688 Find the parameters of the exponential model of the form y = Aert 17. A data set for which a power model is a good fit was transformed. The least squares linear function the transformed data is given by y = = 0.5386x + 0.2561 Find the parameters of the power model of the form y = Ax".
he following data represents the annual sales of a Digitech Automation products SAOG. Year 2014 2015 2016 2017 2018 Sales (in Millions) OMR 380 440 520 396 514 Use method of least squares to calculate the trend values and the forecast for the future period. The value of 'a' in the linear equation Y = a + bx is: a. 540 b. 450 c. 504 d. 405
[Simple Linear Regression] How do you solve this?

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