The least-squares regression equation is y = 602.1x + 17,023 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 0.6748. Complete parts (a) through (d). higher SCIE lower 55000+ 25000 (a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree. $32076 (Round to the nearest dollar as needed.) (b) In a particular region, 29.1 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $37,759. Is this income higher than what you would expect? Why? This is than expected because the expected income is $ (Round lar as needed.) 15 20 25 30 35 40 45 50 55 60 Bachelor's %
The least-squares regression equation is y = 602.1x + 17,023 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 0.6748. Complete parts (a) through (d). higher SCIE lower 55000+ 25000 (a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree. $32076 (Round to the nearest dollar as needed.) (b) In a particular region, 29.1 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $37,759. Is this income higher than what you would expect? Why? This is than expected because the expected income is $ (Round lar as needed.) 15 20 25 30 35 40 45 50 55 60 Bachelor's %
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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