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In: Statistics and Probability

The American Community Survey is a survey that uses U.S. census data to compile information on...

The American Community Survey is a survey that uses U.S. census data to compile information on various characteristics of the U.S. population. Here are statistics that I would like you to analyze from a sample of states. The independent variable (x-variable) is the percent of the state population living below the poverty level. The dependent variable (y-variable) is the state infant mortality rate in deaths per 1000 births. The data is displayed in the following table: State: Percent of Population living below poverty level Infant Mortality Rate Deaths per 1000 Births Vermont 11.5 5.12 New Jersey 10.2 5.35 Georgia 19.1 8.02 Kentucky 19.1 7.04 Iowa 12.8 5.43 Kansas 13.8 7.50 Colorado 13.5 6.04 New Mexico 21.5 5.81 Arizona 19.0 6.54 California 16.6 5.12 Oregon 17.5 5.41 North Dakota 12.2 6.44 Ohio 16.4 7.74 Maine 14.1 6.04 Mississippi 22.6 10.16 Arkansas 19.5 7.89 Louisiana 20.4 9.38 Wisconsin 13.1 6.57 Connecticut 10.9 6.27 Wyoming 11.3 7.05

How much of the variation in state mortality rates can be explained by the linear model which uses “poverty rate” data as a predictor? a. 33% b. 57.4% c. 55.8% d. 78% e. 62%

Solutions

Expert Solution

How much of the variation in state mortality rates can be explained by the linear model which uses “poverty rate” data as a predictor?

a. 33%

State: Percent of Population living below poverty level Infant Mortality Rate Deaths per 1000 Births
Vermont 11.5 5.12
New Jersey 10.2 5.35
Georgia 19.1 8.02
Kentucky 19.1 7.04
Iowa 12.8 5.43
Kansas 13.8 7.5
Colorado 13.5 6.04
New Mexico 21.5 5.81
Arizona 19 6.54
California 16.6 5.12
Oregon 17.5 5.41
North Dakota 12.2 6.44
Ohio 16.4 7.74
Maine 14.1 6.04
Mississippi 22.6 10.16
Arkansas 19.5 7.89
Louisiana 20.4 9.38
Wisconsin 13.1 6.57
Connecticut 10.9 6.27
Wyoming 11.3 7.05
0.330
r   0.574
Std. Error   1.162
n   20
k   1
Dep. Var. Infant Mortality Rate Deaths per 1000 Births
ANOVA table
Source SS   df   MS F p-value
Regression 11.9605 1   11.9605 8.85 .0081
Residual 24.3200 18   1.3511
Total 36.2805 19  
Regression output confidence interval
variables coefficients std. error    t (df=18) p-value 95% lower 95% upper
Intercept 3.5184
Percent of Population living below poverty level 0.2049 0.0689 2.975 .0081 0.0602 0.3495

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