he least-squares regression equation is y = 660.8x + 15,627 where y is the median income and x is the ercentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a near 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 % (b) In a particular region, 27.9 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $30,681. Is this income higher than what you would expect? Why? This is lower than expected because the expected income is $ 34,063 (Round to the nearest dollar as needed.) (c) Interpret the slope. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or decimal. Do not round.) least a bachelor's degree is %, on average. O A. For every dollar increase in median income, the percent of adults having O B. For every percent increase in adults having at least a bachelor's degree, the median income increases by $ on average. O C. For 0% of adults having a bachelor's degree, the median income is predicted to be $ O D. For a median income of $0, the percent of adults with a bachelor's degree is %.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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he least-squares regression equation is y=660.8x +15,627 where y is the median income and x is the
ercentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a
inear relation between the two variables wvith 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 %
適 展
(b) In a particular region, 27.9 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $30,681. ls this income higher than what you would expect? Why?
This is lower than expected because the expected income is $ 34,063
(Round to the nearest dollar as needed.)
(c) Interpret the slope. Select the correct choice below and fill in the answer box to complete your choice.
(Type an integer or decimal. Do not round.)
%, on average.
O A. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is
on average.
B. For every percent increase in adults having at least a bachelor's degree, the median income increases by $
C. For 0% of adults having a bachelor's degree, the median income is predicted to be $
%.
D. For a median income of $0, the percent of adults with a bachelor's degree is
anowe
Transcribed Image Text:he least-squares regression equation is y=660.8x +15,627 where y is the median income and x is the ercentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a inear relation between the two variables wvith 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 % 適 展 (b) In a particular region, 27.9 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $30,681. ls this income higher than what you would expect? Why? This is lower than expected because the expected income is $ 34,063 (Round to the nearest dollar as needed.) (c) Interpret the slope. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or decimal. Do not round.) %, on average. O A. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is on average. B. For every percent increase in adults having at least a bachelor's degree, the median income increases by $ C. For 0% of adults having a bachelor's degree, the median income is predicted to be $ %. D. For a median income of $0, the percent of adults with a bachelor's degree is anowe
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