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3. Learn by doing (page 68): In this data, X = annual cigarette consumption per capita in the U.S. and Y = lung cancers per 100,000. To investigate the connection between cigarette consumption and lung cancers, the data is offset by 30 years since cancer takes time to develop. For example, cigarette consumption in cigarettes and cancer Scatter Plot: graph of lung cancer rates and cigarette consumption 70 60 50 40 > 30 20 3200 3400 3600 3800 4000 4200 4400 4600 x (per_capita) (000001 1ad) A

3. Learn by doing (page 68): In this data, X = annual cigarette consumption per capita in the U.S. and Y = lung cancers per 100,000. To investigate the connection between cigarette consumption and lung cancers, the data is offset by 30 years since cancer takes time to develop. For example, cigarette consumption in cigarettes and cancer Scatter Plot: graph of lung cancer rates and cigarette consumption 70 60 50 40 > 30 20 3200 3400 3600 3800 4000 4200 4400 4600 x (per_capita) (000001 1ad) A

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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3. Learn by doing (page 68): In this data, X = annual cigarette consumption per capita in the U.S. and Y = lung cancers per 100,000. To investigate the connection between cigarette consumption and lung cancers, the data is offset by 30 years since cancer takes time to develop. For example, cigarette consumption in ciaarettes and cancer Scatter Plot: graph of lung cancer rates and cigarette consumption 70 60 50 40 30 20- 3200 3400 3600 3800 4000 4200 4400 4600 (per_capita) (000001 1ad) A
Transcribed Image Text:3. Learn by doing (page 68): In this data, X = annual cigarette consumption per capita in the U.S. and Y = lung cancers per 100,000. To investigate the connection between cigarette consumption and lung cancers, the data is offset by 30 years since cancer takes time to develop. For example, cigarette consumption in ciaarettes and cancer Scatter Plot: graph of lung cancer rates and cigarette consumption 70 60 50 40 30 20- 3200 3400 3600 3800 4000 4200 4400 4600 (per_capita) (000001 1ad) A
1945 is paired with cancer rates for 1975. The cigarette consumption data is from 1945 to 1975 in 5-year increments. There is a strong positive linear association between annual cigarette consumption and lung cancer rates. The correlation is 0.81. If we use the line to make predictions of the number of lung cancer deaths per 100,000 people, which of the following is an example of extrapolation? a. Predict Y when cigarette consumption is 3,500 cigarettes per person. b. Predict Y when cigarette consumption is 3,800 cigarettes per person. c. Predict Y when cigarette consumption is 4,600 cigarettes per person.
Transcribed Image Text:1945 is paired with cancer rates for 1975. The cigarette consumption data is from 1945 to 1975 in 5-year increments. There is a strong positive linear association between annual cigarette consumption and lung cancer rates. The correlation is 0.81. If we use the line to make predictions of the number of lung cancer deaths per 100,000 people, which of the following is an example of extrapolation? a. Predict Y when cigarette consumption is 3,500 cigarettes per person. b. Predict Y when cigarette consumption is 3,800 cigarettes per person. c. Predict Y when cigarette consumption is 4,600 cigarettes per person.
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