K The least-squares regression equation is y = 745.9x + 12,727 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 0.7779. Complete parts (a) through (d). (... ... Median Income 55000 20000 15 20 25 30 35 40 45 50 55 60 Bachelor's % G (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.)

MATLAB: An Introduction with Applications
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12:48
K
The least-squares regression equation is
y = 745.9x + 12,727 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 0.7779. Complete parts (a)
through (d).
C
=
Median Income
LTE 2.1.
55000-
1
20000+
45%
15 20 25 30 35 40 45 50 55 60
Bachelor's %
Q
(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.)
$
Transcribed Image Text:12:48 K The least-squares regression equation is y = 745.9x + 12,727 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 0.7779. Complete parts (a) through (d). C = Median Income LTE 2.1. 55000- 1 20000+ 45% 15 20 25 30 35 40 45 50 55 60 Bachelor's % Q (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.) $
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