Fit a regression line to the data shown in the chart, and find the coefficient of correlation for the line. Use the regression line to predict life expectancy in the year 2000, where x is the number of decades after 1900. year, x 0 (1900) life expectancy, y 49.1 years 2 (1920) 51.4 years 4 (1940) 6 (1960) | 8 (1980) 53.0 years 54.2 years 55.2 years Choose the regression line. OA. y = 0.750x - 49.58 OB. y = 49.58x + 0.750 OC. y = 0.750x + 49.58 OD. y = 49.58 The life expectancy in the year 2000, rounded to one decimal place is [ years.
Fit a regression line to the data shown in the chart, and find the coefficient of correlation for the line. Use the regression line to predict life expectancy in the year 2000, where x is the number of decades after 1900. year, x 0 (1900) life expectancy, y 49.1 years 2 (1920) 51.4 years 4 (1940) 6 (1960) | 8 (1980) 53.0 years 54.2 years 55.2 years Choose the regression line. OA. y = 0.750x - 49.58 OB. y = 49.58x + 0.750 OC. y = 0.750x + 49.58 OD. y = 49.58 The life expectancy in the year 2000, rounded to one decimal place is [ years.
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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Fit a regression line to the data shown in the chart, and find the coefficient of correlation for the line. Use the
regression line to predict life expectancy in the year 2000, where x is the number of decades after 1900.
year, x
0 (1900)
life expectancy, y 49.1 years 51.4 years
2 (1920)
4 (1940)
53.0 years
6 (1960)
54.2 years 55.2 years
8 (1980)
Choose the regression line.
OA. y = 0.750x - 49.58
O C. y = 0.750x + 49.58
OB. y=49.58x + 0.750
= 49.58
○ D. y =
The life expectancy in the year 2000, rounded to one decimal place is
years.
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VIEWStep 3: Calculate the value of m and b to find the equation of the regression line
VIEWStep 4: Use the regression line to find the life expectancy in the year 2000
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