ff data gives the approximate population of China from 1990-2010 Year 1900 1950 1970 1980 1990 2000 2010 Population 400 557 825 981 1153 1266 1370 Assume that the population growth can be modeled with an exponential function p = bemx , where x is the year and p is the population in millions. Write the equation in a linearized form of the equation, e.g. ln p = ln b + mx, and use linear least-squares regression (here you can use Excel) to determine the constants b and m for which the function best fits the data. Use the equation to estimate the population in the year 1985.
ff data gives the approximate population of China from 1990-2010 Year 1900 1950 1970 1980 1990 2000 2010 Population 400 557 825 981 1153 1266 1370 Assume that the population growth can be modeled with an exponential function p = bemx , where x is the year and p is the population in millions. Write the equation in a linearized form of the equation, e.g. ln p = ln b + mx, and use linear least-squares regression (here you can use Excel) to determine the constants b and m for which the function best fits the data. Use the equation to estimate the population in the year 1985.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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The ff data gives the approximate population of China from 1990-2010
Year | 1900 | 1950 | 1970 | 1980 | 1990 | 2000 |
2010
|
Population | 400 | 557 | 825 | 981 | 1153 | 1266 | 1370 |
Assume that the population growth can be modeled with an exponential
Write the equation in a linearized form of the equation, e.g. ln p = ln b + mx, and use linear least-squares regression (here you can use Excel) to determine the constants b and m for which the function best fits the data. Use the equation to estimate the population in the year 1985. Comment on the result vis a vis actual population of China in 1985.
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