The least-squares regression equation is y = 660.8x + 15,627 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 0.7527. Complete parts (a) through (d). 55000 20000- 15 20 25 30 35 40 45 50 55 60 Bachelor's % (a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree. (Round to the nearest dollar as needed.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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The least-squares regression equation is y=660.8x +15,627 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 0.7527. Complete parts (a) through (d).
55000
20000-
15 20 25 30 35 40 45 50 55 60
Bachelor's %
東 测
(a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree.
$(Round to the nearest dollar as needed.)
Median Income
Transcribed Image Text:The least-squares regression equation is y=660.8x +15,627 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 0.7527. Complete parts (a) through (d). 55000 20000- 15 20 25 30 35 40 45 50 55 60 Bachelor's % 東 测 (a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree. $(Round to the nearest dollar as needed.) Median Income
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