The least-squares regression equation is y = 689.9x + 14,803 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7256. Complete parts (a) through (d)

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Chapter4: Equations Of Linear Functions
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The least-squares regression equation is y = 689.9x + 14,803 where y is the median income and x is the percentage of 25 years and older
with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation
coefficient of 0.7256. Complete parts (a) through (d).
(a) Predict the median income of a region in which 20% of adults 25 years and older have at least a bachelor's degree.
(Round to the nearest dollar as needed.)
.
TOLED
dian Income
Media
55000-
20000-
15 20 25 30 35 40 45 50 55 60
Bachelor's 96
Q
Transcribed Image Text:The least-squares regression equation is y = 689.9x + 14,803 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7256. Complete parts (a) through (d). (a) Predict the median income of a region in which 20% of adults 25 years and older have at least a bachelor's degree. (Round to the nearest dollar as needed.) . TOLED dian Income Media 55000- 20000- 15 20 25 30 35 40 45 50 55 60 Bachelor's 96 Q
Median Income
55000
20000-
15
20
25
30
35
유
Bachelor's %
OK
45
50
515
X
60
50
Transcribed Image Text:Median Income 55000 20000- 15 20 25 30 35 유 Bachelor's % OK 45 50 515 X 60 50
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