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. come (in $1,000) 60 40-

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.
Chapter7: Integration
Section7.CR: Chapter 7 Review
Problem 88CR
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d) Can we conclude that having a bachelor's degree increases one's income?
Yes
O No
Transcribed Image Text:d) Can we conclude that having a bachelor's degree increases one's income? Yes O No
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.
Per capita income (in $1,000)
60-
40
20
10
30
Percent with Bachelor's degree
a) What is the explanatory variable?
Percent with a Bachelor's Degree
Per Capita Income (in $1000s)
b) What is the response variable?
Per Capita Income (in $1000s)
Percent with a Bachelor's Degree
50
c) Describe the relationship between the variables.
no relationship
weak negative
strong negative
weak positive
strong positive
70
Transcribed Image Text: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. Per capita income (in $1,000) 60- 40 20 10 30 Percent with Bachelor's degree a) What is the explanatory variable? Percent with a Bachelor's Degree Per Capita Income (in $1000s) b) What is the response variable? Per Capita Income (in $1000s) Percent with a Bachelor's Degree 50 c) Describe the relationship between the variables. no relationship weak negative strong negative weak positive strong positive 70
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