C4. In 2010, a U.S. Census Bureauationreportrevealed that approximately 14.3% of allAmericans were living below the poverty line in 2009. This figure is higher than in 2000,when thepoverty rate was 12.2%. Individuals and families living below thepovertyline face many obstacles, the least of which is access to health care. In many cases,thoseliving below the poverty line are without any form of health insurance. Using data fromthe U.S. Census Bureau, analyze the relationship between living below the povertylineand access to health care for a random sample of 12 states. (The health insurance dataare pre-Affordable Care Act implementation.)Percentage Below PovertyLine (2009)Percentage Without HealthInsurance (2009)StateAlabama17.916.9California14.220Idaho14.315.217.316Louisiana15.8New Jersey9.414.214.8New York12.511.4Pennsylvania11.512.3Rhode Island17.117.0South Carolina(Continued) (Continued)Percentage Below PovertyLine (2009)Percentage Without HealthInsurance (2009)StateТехas17.226.1Washington12.312.9Wisconsin12.49.5Source: U.S. Census Bureau, The 2012 Statistical Abstract, 2011, Tables 709 and 156.a. Construct a scatterplot, predicting the percentage without health insurance withthe percentage living below the poverty level. Does it appear that a straight-linerelationship will fit the data?b. Calculate the regression equation with percentage of the population without healthinsurance as the dependent variable, and draw the regression line on the scatterplot.What is its slope? What is the intercept? Has your opinion changed about whethera straight line seems to fit the data? Are there any states that fall far from theregression line? Which one(s)?

Here, we are willing to conduct a regression analysis of the data, where, (i) independent variable…

a. Construct a scatterplot, predicting the percentage without health insurance with the percentage living below the poverty level. Does it appear that a straight-line relationship will fit the data? b. Calculate the regression equation with percentage of the population without health insurance as the dependent variable, and draw the regression line on the scatterplot. What is its slope? What is the intercept? Has your opinion changed about whether a straight line seems to fit the data? Are there any states that fall far from the regression line? Which one(s)?

a. Construct a scatterplot, predicting the percentage without health insurance with the percentage living below the poverty level. Does it appear that a straight-line relationship will fit the data? b. Calculate the regression equation with percentage of the population without health insurance as the dependent variable, and draw the regression line on the scatterplot. What is its slope? What is the intercept? Has your opinion changed about whether a straight line seems to fit the data? Are there any states that fall far from the regression line? Which one(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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Concept explainers

Bar Graphs

A bar graph is a chart or graphical representation of data. A bar chart, also known as a bar graph, is a graph or chart that displays categorical data using rectangular bars with heights or lengths equal to the values they represent. Typically, bar graphs show categorical and numerical variables grouped in class intervals. A bar graph is useful for comparing and analyzing a set of data.

Question

C4. In 2010, a U.S. Census Bureau
ation
report
revealed that approximately 14.3% of all
Americans were living below the poverty line in 2009. This figure is higher than in 2000,
when the
poverty rate was 12.2%. Individuals and families living below the
poverty
line face many obstacles, the least of which is access to health care. In many cases,
those
living below the poverty line are without any form of health insurance. Using data from
the U.S. Census Bureau, analyze the relationship between living below the poverty
line
and access to health care for a random sample of 12 states. (The health insurance data
are pre-Affordable Care Act implementation.)
Percentage Below Poverty
Line (2009)
Percentage Without Health
Insurance (2009)
State
Alabama
17.9
16.9
California
14.2
20
Idaho
14.3
15.2
17.3
16
Louisiana
15.8
New Jersey
9.4
14.2
14.8
New York
12.5
11.4
Pennsylvania
11.5
12.3
Rhode Island
17.1
17.0
South Carolina
(Continued)

(Continued)
Percentage Below Poverty
Line (2009)
Percentage Without Health
Insurance (2009)
State
Техas
17.2
26.1
Washington
12.3
12.9
Wisconsin
12.4
9.5
Source: U.S. Census Bureau, The 2012 Statistical Abstract, 2011, Tables 709 and 156.
a. Construct a scatterplot, predicting the percentage without health insurance with
the percentage living below the poverty level. Does it appear that a straight-line
relationship will fit the data?
b. Calculate the regression equation with percentage of the population without health
insurance as the dependent variable, and draw the regression line on the scatterplot.
What is its slope? What is the intercept? Has your opinion changed about whether
a straight line seems to fit the data? Are there any states that fall far from the
regression line? Which one(s)?

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