How Does Cigarette Consumption Relate to Heart Disease Deaths?

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SUMMARY

The discussion focuses on the correlation between per capita cigarette consumption and deaths from coronary heart disease across various countries. The coefficient of determination calculated is 0.607, indicating a moderate positive relationship between cigarette consumption and heart disease mortality rates. Participants also explored the use of the linear equation ax + b to predict death rates based on cigarette consumption, specifically for a hypothetical country with a per capita consumption of 2000 cigarettes.

PREREQUISITES
  • Understanding of statistical concepts such as coefficient of determination
  • Familiarity with linear regression analysis
  • Knowledge of coronary heart disease risk factors
  • Basic proficiency in data interpretation and analysis
NEXT STEPS
  • Research linear regression techniques in statistical software like R or Python
  • Explore the impact of smoking on cardiovascular health through epidemiological studies
  • Learn about the use of the coefficient of determination in health data analysis
  • Investigate public health policies aimed at reducing cigarette consumption
USEFUL FOR

Public health researchers, epidemiologists, statisticians, and healthcare professionals interested in the relationship between lifestyle factors and heart disease outcomes.

aprilryan
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I just need a little assistance on the last two questions. I place per capita and death in L1 and L2 but I am lost.

Country Per Capita Cigarette Consumption
3900
United States 3350
Canada 3220
Australia 3220
New Zealand 2790
United Kingdom 2770
Ireland 2290
Finland 2160
West Germany 1890
Netherlands 1810
Austria 1770
Belgium 1700
Mexico 1680
Italy 1510
Sweden 1270
Spain 1200
Norway 1090

Deaths from Coronary Heart Disease (per 100,000)
259.9
211.6
238.1
211.6
238.1
211.8
194.1
187.3
110.5
233.1
150.3
124.7
182.1
118.1
31.9
114.3
126.9
43.9
136.3

3. What does the coefficient of determination indicate about the relationship?
Would the coefficient of 0.607 indicate there's a link between the variables?4. Use the data above to predict the number of death (per 100,000) in a country with a per capita consumption of cigarettes of 2000.

Would the ax+b equation be useful here?

Sorry, I know this one is a little long.
 
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Nevermind I got i!
 
aprilryan said:
Nevermind I got i!

Would you mind posting your solution for the benefit of the community?
 
Sure! I got 0.607.