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The graph below represents the relationship between cigarettes consumed per capita in 1930 versus the deaths per million due to lung cancer in 1950 (20 years later) for 11 countries. Results of a least squares regression are included on the graph. Deaths per million (1950) 500 400 350 300 250 200 150 100 50 0 Lung Cancer Deaths and Cigarette Consumption 200 y = 0.2291x + 65.749 R² = 0.549 400 600 800 1000 Cigarettes consumed per capita (1930) Slope decreases correlation coefficient increases Slope increases, correlation coefficient increases Slope decreases, correlation coefficient decreases Slope increases, correlation coefficient decreases AUK 1200 US 1400 If the US is removed from the scatter plot, how do the slope and the correlation coefficient of the regression line change? Page 32 of 42

The graph below represents the relationship between cigarettes consumed per capita in 1930 versus the deaths per million due to lung cancer in 1950 (20 years later) for 11 countries. Results of a least squares regression are included on the graph. Deaths per million (1950) 500 400 350 300 250 200 150 100 50 0 Lung Cancer Deaths and Cigarette Consumption 200 y = 0.2291x + 65.749 R² = 0.549 400 600 800 1000 Cigarettes consumed per capita (1930) Slope decreases correlation coefficient increases Slope increases, correlation coefficient increases Slope decreases, correlation coefficient decreases Slope increases, correlation coefficient decreases AUK 1200 US 1400 If the US is removed from the scatter plot, how do the slope and the correlation coefficient of the regression line change? Page 32 of 42

MATLAB: An Introduction with Applications
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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Listen ▶ The graph below represents the relationship between cigarettes consumed per capita in 1930 versus the deaths per million due to lung cancer in 1950 (20 years later) for 11 countries. Results of a least squares regression are included on the graph. Deaths per million (1950) 500 450 400 350 300 250 150 100 50 0 0 Lung Cancer Deaths and Cigarette Consumption Previous Page 200 y 0.2291x 65.749 R² = 0.549 400 Next Page 600 800 Slope decreases correlation coefficient increases Slope increases, correlation coefficient increases Slope decreases, correlation coefficient decreases Slope increases, correlation coefficient decreases 1000 Cigarettes consumed per capita (1930) A UK 1200 If the US is removed from the scatter plot, how do the slope and the correlation coefficient of the regression line change? US 1400 Page 32 of 42
Transcribed Image Text:Listen ▶ The graph below represents the relationship between cigarettes consumed per capita in 1930 versus the deaths per million due to lung cancer in 1950 (20 years later) for 11 countries. Results of a least squares regression are included on the graph. Deaths per million (1950) 500 450 400 350 300 250 150 100 50 0 0 Lung Cancer Deaths and Cigarette Consumption Previous Page 200 y 0.2291x 65.749 R² = 0.549 400 Next Page 600 800 Slope decreases correlation coefficient increases Slope increases, correlation coefficient increases Slope decreases, correlation coefficient decreases Slope increases, correlation coefficient decreases 1000 Cigarettes consumed per capita (1930) A UK 1200 If the US is removed from the scatter plot, how do the slope and the correlation coefficient of the regression line change? US 1400 Page 32 of 42
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