In: Statistics and Probability
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 |
Create a scatterplot of the x-values vs. the Residuals. The Residual plot shows two unusual values (values with the largest deviations).
Of the following statements, choose the two statements that correctly describe these unusual values.
1. New Mexico has an actual infant mortality rate that is much higher than the
predicted infant mortality rate.
2. New Mexico has an actual infant mortality rate that is much lower than the
predicted infant mortality rate.
3. Louisiana has an actual infant mortality rate that is much higher than the
predicted infant mortality rate.
4. Louisiana has an actual infant mortality rate that is much lower than the
predicted infant mortality rate.
5. Mississippi has an actual infant mortality rate that is much higher than the
predicted infant mortality rate.
6. Mississippi has an actual infant mortality rate that is much lower than the
predicted infant mortality rate.
a. |
Statements 2 and 5 are true. |
|
b. |
Statements 1 and 5 are true. |
|
c. |
Statements 3 and 5 are true. |
|
d. |
Statements 1 and 4 are true |
|
e. |
Statements 2 and 3 are true. |
Solution: here we solve this problem using minitab statistical software as below
Now
values of x , y and residual as below
state | x | y | RESI1 |
Vermont | 11.5 | 5.12 | -0.75431 |
New Jersey | 10.2 | 5.35 | -0.25799 |
Georgia | 19.1 | 8.02 | 0.588738 |
Kentucky | 19.1 | 7.04 | -0.39126 |
Iowa | 12.8 | 5.43 | -0.71063 |
Kansas | 13.8 | 7.5 | 1.154504 |
Colorado | 13.5 | 6.04 | -0.24404 |
New Mexico | 21.5 | 5.81 | -2.11293 |
Arizona | 19 | 6.54 | -0.87078 |
California | 16.6 | 5.12 | -1.79911 |
Oregon | 17.5 | 5.41 | -1.69348 |
North Dakota | 12.2 | 6.44 | 0.422283 |
Ohio | 16.4 | 7.74 | 0.861864 |
Maine | 14.1 | 6.04 | -0.36695 |
Mississippi | 22.6 | 10.16 | 2.011722 |
Arkansas | 19.5 | 7.89 | 0.376793 |
Louisiana | 20.4 | 9.38 | 1.682418 |
Wisconsin | 13.1 | 6.57 | 0.367908 |
Connecticut | 10.9 | 6.27 | 0.518603 |
Wyoming | 11.3 | 7.05 | 1.216658 |
Comment : Using the above information we say that the
b. |
Statements 1 and 5 are true. is the correct answer for this therefore |
Ans :
b. |
Statements 1 and 5 are true. |
Thank You..!!
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