The least-squares regression equation is y = 618.4x + 17,572 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 0.6761. 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.) (b) In a particular region, 29.2 percent of adults 25 years and older, have at least a bachelor's degree. The median income in this region $38,940. Is this income higher than what you would expect? Why? This is V than expected because the expected income is $ (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.) O A. For a median income of $o, the percent of adults with a bachelor's degree is % O B. For 0% of adults having a bachelor's degree, the median income is predicted to be $. O C. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is %, on average. O D. For every percent increase in adults having at least a bachelor's degree, the median income increases by $. on average. (d) Explain why it does not make sense to interpret the y-intercept. Choose the correct answer below. O A. It does not make sense to interpret the y-intercept because an x-value of 0 is outside the scope of the model. O B. It does not make sense interpret the y-intercept because a y-value of 0 is outside the scope of the model. of 0 does pot make sens

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The least-squares regression equation is y = 618.4x+ 17,572 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 0.6761. 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.)
(b) In a particular region, 29.2 percent of adults 25 years and older, have at least a bachelor's degree. The median income in this region is $38,940. Is this income higher than what you would expect? Why?
This is
than expected because the expected income is $
(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.)
Question Viewer
O A. For a median income of $0, the percent of adults with a bachelor's degree is
%.
O B. For 0% of adults having a bachelor's degree, the median income is predicted to be $
C. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is
%, on average.
D. For every percent increase in adults having at least a bachelor's degree, the median income increases by $, on average.
(d) Explain why it does not make sense to interpret the y-intercept. Choose the correct answer below.
O A. It does not make sense to interpret the y-intercept because an x-value of 0 is outside the scope of the model.
B. It does not make sense to interpret the y-intercept because a y-value of 0 is outside the scope of the model.
C. It does not make sense to interpret the y-intercept because a y-value of 0 does not make sense.
D. It does not make sense to interpret the y-intercept because an x-value of 0 does not make sense.
Median Income
Transcribed Image Text:The least-squares regression equation is y = 618.4x+ 17,572 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 0.6761. 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.) (b) In a particular region, 29.2 percent of adults 25 years and older, have at least a bachelor's degree. The median income in this region is $38,940. Is this income higher than what you would expect? Why? This is than expected because the expected income is $ (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.) Question Viewer O A. For a median income of $0, the percent of adults with a bachelor's degree is %. O B. For 0% of adults having a bachelor's degree, the median income is predicted to be $ C. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is %, on average. D. For every percent increase in adults having at least a bachelor's degree, the median income increases by $, on average. (d) Explain why it does not make sense to interpret the y-intercept. Choose the correct answer below. O A. It does not make sense to interpret the y-intercept because an x-value of 0 is outside the scope of the model. B. It does not make sense to interpret the y-intercept because a y-value of 0 is outside the scope of the model. C. It does not make sense to interpret the y-intercept because a y-value of 0 does not make sense. D. It does not make sense to interpret the y-intercept because an x-value of 0 does not make sense. Median Income
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