1.16 Income and education in US counties: The scatterplot below shows the relationship between per capita income (in thousands of dollars) and percent of population with a bachelor's degree in 3,143 counties in the US in 2010. a) What is the explanatory variable? Per Capita Income (in $1000s) Percent with a Bachelor's Degree b) What is the response variable? Percent with a Bachelor's Degree Per Capita Income (in $1000s) c) Describe the relationship between the variables. no relationship strong positive weak positive strong negative weak negative d) Can we conclude that having a bachelor's degree increases one's income? Yes No

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 81E
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1.16 Income and education in US counties: The scatterplot below shows the relationship between per capita income (in thousands of dollars) and percent of population with a bachelor's degree in 3,143 counties in the US in 2010.

a) What is the explanatory variable?

  • Per Capita Income (in $1000s)
  • Percent with a Bachelor's Degree

b) What is the response variable?

  • Percent with a Bachelor's Degree
  • Per Capita Income (in $1000s)

c) Describe the relationship between the variables.

  • no relationship
  • strong positive
  • weak positive
  • strong negative
  • weak negative

d) Can we conclude that having a bachelor's degree increases one's income?

  • Yes
  • No
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