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The least-squares regression equation is y = 712.7x + 14,497 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 0.7581. 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 20% of adults 25 years and older have at least a bachelor's degree. $ 28,751 (Round to the nearest dollar as needed.) (b) In a particular region, 26.2 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $29,951. 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.) Median Income

The least-squares regression equation is y = 712.7x + 14,497 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 0.7581. 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 20% of adults 25 years and older have at least a bachelor's degree. $ 28,751 (Round to the nearest dollar as needed.) (b) In a particular region, 26.2 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $29,951. 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.) Median Income

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Part B.
The least-squares regression equation is y = 712.7x+ 14,497 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 0.7581. 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 20% of adults 25 years and older have at least a bachelor's degree. $ 28,751 (Round to the nearest dollar as needed.) (b) In a particular region, 26.2 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $29,951. 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.) Median Income
Transcribed Image Text:The least-squares regression equation is y = 712.7x+ 14,497 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 0.7581. 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 20% of adults 25 years and older have at least a bachelor's degree. $ 28,751 (Round to the nearest dollar as needed.) (b) In a particular region, 26.2 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $29,951. 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.) Median Income
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