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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 This is higher than expected because the expected income is $ (Round to the nearest dollar as needed.) 55000- S 15 20 25 30 35 40 45 50 55 60 Bachelor's % 20000+ J (a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree. $31375 (Round to the nearest dollar as needed.) (b) In a particular region, 29.7 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $31,654. Is this income higher than what you would expect? Why?

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 This is higher than expected because the expected income is $ (Round to the nearest dollar as needed.) 55000- S 15 20 25 30 35 40 45 50 55 60 Bachelor's % 20000+ J (a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree. $31375 (Round to the nearest dollar as needed.) (b) In a particular region, 29.7 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $31,654. Is this income higher than what you would expect? Why?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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nts (d) Explain why it does not make sense to interpret the y-intercept. Choose the correct answer below. OA. 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. OC. It does not make sense to interpret the y-intercept because an x-value of 0 does not make sense OD. It does not make sense to interpret the y-intercept because a y-value of 0 does not make sense.
Transcribed Image Text:nts (d) Explain why it does not make sense to interpret the y-intercept. Choose the correct answer below. OA. 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. OC. It does not make sense to interpret the y-intercept because an x-value of 0 does not make sense OD. It does not make sense to interpret the y-intercept because a y-value of 0 does not make sense.
1:22 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). This is higher than expected because the expected income is $ to the nearest dollar as needed.) (Round ||| C... = O Median Income 55000 1 LTE + ... ... (a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree. $31375 (Round to the nearest dollar as needed.) (b) In a particular region, 29.7 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $31,654. Is this income higher than what you would expect? Why? 20000+ 39% 15 20 25 30 35 40 45 50 55 60 Bachelor's %
Transcribed Image Text:1:22 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). This is higher than expected because the expected income is $ to the nearest dollar as needed.) (Round ||| C... = O Median Income 55000 1 LTE + ... ... (a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree. $31375 (Round to the nearest dollar as needed.) (b) In a particular region, 29.7 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $31,654. Is this income higher than what you would expect? Why? 20000+ 39% 15 20 25 30 35 40 45 50 55 60 Bachelor's %
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