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Mathematics Clinic => Statistics => Topic started by: sjones on Jan 16, 2020

Title: A random sample of 200 men aged between 20 and 60 was selected from a certain city. The linear ...
Post by: sjones on Jan 16, 2020
A random sample of 200 men aged between 20 and 60 was selected from a certain city.  The linear correlation coefficient between income and blood pressure was found to be r = 0.807.  What does this imply?  Does this suggest that if a man gets a salary raise his blood pressure is likely to rise?  Why or why not?  What are likely lurking variables?
Title: A random sample of 200 men aged between 20 and 60 was selected from a certain city. The linear ...
Post by: miss.ashley on Jan 16, 2020
A positive correlation exists between income and blood pressure but this is an example of correlation not causation. An increase in salary is unlikely to lead to an increase in blood pressure.  Age and level of job stress are possible lurking variables and these lurking variables account for the positive correlation. Older men tend to have both higher blood pressures and higher incomes. Also men in high stress jobs tend to have both higher blood pressures and higher incomes.