ExpectancyY It is believed that there is a logarithmic relation between life expectancy and the year. Transform the data correctly to perform a linear least squares regression, then report your model as y = m ln x + b. Estimate the year when life expectancy should be 82.
ExpectancyY It is believed that there is a logarithmic relation between life expectancy and the year. Transform the data correctly to perform a linear least squares regression, then report your model as y = m ln x + b. Estimate the year when life expectancy should be 82.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
4. The CDC released the following table of life expectancies for Americans from 1900-2010.
![Year
1900 1910
1920
1930
1940
|1950
1960
1970
|1980
1990 2000 2010
Life
47.3 50.0
54.1
59.7
62.9
68.2
69.7
70.8
73.7
75.4
76.8
78.7
Expectancy
It is believed that there is a logarithmic relation between life expectancy and the year. Transform the data correctly to
m ln x + b. Estimate the year when life
perform a linear least squares regression, then report your model as y =
expectancy should be 82.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc87be0bf-08a6-4aba-87a2-91faec00b3ad%2F012776d6-0774-494e-84f9-d9ac0c0d54ec%2F07mvbvk_processed.png&w=3840&q=75)
Transcribed Image Text:Year
1900 1910
1920
1930
1940
|1950
1960
1970
|1980
1990 2000 2010
Life
47.3 50.0
54.1
59.7
62.9
68.2
69.7
70.8
73.7
75.4
76.8
78.7
Expectancy
It is believed that there is a logarithmic relation between life expectancy and the year. Transform the data correctly to
m ln x + b. Estimate the year when life
perform a linear least squares regression, then report your model as y =
expectancy should be 82.
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