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 2020, where x is the number of decades after 1900. 2 (1920) life expectancy, y 48.3 years 50.6 years 52.2 years 53.4 years 54.4 years 0 (1900) 4 (1940) 6 (1960) year, x 8 (1980) Choose the regression line. A. y = 0.750x + 48,78 O B. y = 0.750x - 48.78 OC. y = 48.78x + 0.750 O D. y = 48.78 The coefficient of correlation rounded to three decimal places is

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 2020, where x is the number of decades after 1900. 2 (1920) life expectancy, y 48.3 years 50.6 years 52.2 years 53.4 years 54.4 years 0 (1900) 4 (1940) 6 (1960) year, x 8 (1980) Choose the regression line. A. y = 0.750x + 48,78 O B. y = 0.750x - 48.78 OC. y = 48.78x + 0.750 O D. y = 48.78 The coefficient of correlation rounded to three decimal places is

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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From a regression equation r2= 0.39 and the slope = -2.8 What is the linear correlation coefficient r?
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You conducted a regression analysis between the number of absences and number of tasks missed by your 5 classmates in Statistics and Probability. It resulted that the regression line is y = 0.65x + 1.18. What is the predicted number of tasks missed of a learner who is always present? a. The learner has 1 task missed. b. The learner has less than 2 tasks missed. c. The learner has more than 2 tasks missed. d. The learner has no task missed.
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 2020, where x is the number e decades after 1900. 2 (1920) life expectancy, y 48.3 years 50.6 years 52.2 years 53.4 years 54.4 years year, x 0 (1900) 4 (1940) 6 (1960) 8 (1980) Choose the regression line. A. y = 0.750x + 48.78 O B. y = 0.750x - 48.78 O C. y = 48.78x + 0.750 O D. y = 48.78 The coefficient of correlation rounded to three decimal places is 0.985. Is the regression line a good fit? * Yes No The life expectancy in the year 2020, rounded to one decimal place is
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