d.Consider forecasting growth, Gt using an AR (2) model, where t represents quarterlygrowth data:G₁ = 8+G₁₁+₂G₁_2 + V₂The model to forecast, G₁+1 = 8+Gr +ØGr-1 +Vr+1The growth in two immediate two quarters is given as: 1(2019) = 0.7 and 022(2019)what would be the forecast for (2019):-0.1,

Answered: d. Consider forecasting growth, Gt…

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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The table shows a city's population at 10-year intervals from 1970 to 2000. t = 0 represents 1970. %3D t: years since 1970 10 20 30 P: population 240 710 2130 6450 al Use exponential regression and all the data points to write an equation for the function, P = f (t) for the population, t years after 1970. Round your "a" and “b" values in your equation to 4 decimal places. b) Using your regression equation, determine the predicted population in 2025 (to the nearest person).
The table shows the total assets (in trillions) held in a foreign bank for the given years. Complete parts (a) through (c) below. 2000 | 2005 | 2007 | 2009 | 2011 | 2013 | 2015 117 150 199 Year Assets 17 42 52 78 (a) Find an exponential model of the form f(t) = y,b' for these data, where t= 0 corresponds to the year 2000. If you do not have suitable technology, use the first and last data points to find a function. If you have a graphing calculator or other suitable technology, use exponential regression to find a function. The exponential model for the data is f(t) = O
B: Would the graph of y= 1.5x show exponential growth or exponcntial decay?
Consider the plot of the total number E of Ebola cases in West Africa reported to the Centers for Disease Control and Prevention from April 1, 2014, through December 1, 2015. D +|+|||||||||||||||| ► Ebola Cases in West Africa E = A logistic fit for these data is given by 27,841.42 1 + 134.65-0.646 where t is the time in months since April 1, 2014. Below, we have added the graph of this model. +-+|||||||||||||||||| ► Logistic Graph Added (a) Does the first plot, "Ebola Cases in West Africa," show a continuing epidemic or a health crisis that is under control by December 2015? Because the data points appear to be [leveling off ✔✔✔, they show a health crisis that is under control (b) According to the model, what was the total number of cases when the disease was spreading at the fastest rate? Round your answer to the nearest whole number. 27021.61 x cases (c) Use the crossing-graphs method to determine when the disease was growing at the fastest rate. Round your answer, in months after…
The logistic model P(t) = 96.0235 1+0.0455e0.1864t represents the percentage of households that do not own a personal computer t years since 1983. Complete parts (a)-(d). (a) Evaluate and interpret P(0). Evaluate P(0). P(0)=% (Round to one decimal place as needed.) C
a. Consider the exponential function ƒ(x) = 54(0.38)ª. i. What is the initial value of f? f(0) = 54 ii. What is the 1-unit growth factor for f? 0.38 Preview % Preview iii. What is the 1-unit percent change for f? Preview
Nitrogen dioxide, NO2, is an air pollutant resulting from burning fossil fuels in cars and power plants. The following table shows the decrease in the national average of the concentration in parts per billion (ppb) of NO2 for selected years. Year 2014 2015 2016 2017 2018 NO2 (ppb) 40.8107 39.7886 38.7972 37.8209 36.8752 Use exponential regression to find an exponential decay function for the concentration, C, of NO2 t years after 2014. Round constants to the nearest ten-thousandth. C = Use the model to predict the concentration of NO2 (in ppb) in 2050. Round to the nearest whole number. ? ppb
The logistic model P(t) = 96.0235 1+0.0455-0.1864t represents the percentage of households that do not own a personal computer t years since 1983. Complete parts (a)-(d). (a) Evaluate and interpret P(0). Evaluate P(0). P(0) = 91.8 % (Round to one decimal place as needed.) Which sentence below best describes P(0)? O A. P(0) is the year all households had a personal computer. O B. O C. O D. P(0) is the year no households had a personal computer. P(0) is the percentage of households with a personal computer in 1983. P(0) is the percentage of households without a personal computer in 1983. -C

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