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The analysis given below is for data on world population statistics for many cou

ID: 3237945 • Letter: T

Question

The analysis given below is for data on world population statistics for many countries. Density=number per area, Urban represents the proportion living in an urban setting, lifeexpf is the life expectancy for females, literacy is the proportion of the population that is literate, Babymort is infant mortality rate and GDP_Cap is a financial measure(gross domestic product).

Latent Roots (Eigenvalues)

1

2

3

4

5

6

3.988

1.017

0.495

0.339

0.128

0.033

Component loadings

DENSITY

0.211

0.957

0.184

URBAN

0.847

0.101

-0.096

LIFEEXPF

0.957

-0.102

0.135

LITERACY

0.894

-0.228

0.234

BABYMORT

-0.960

0.097

-0.166

GDP_CAP

0.767

0.140

-0.593

Variance Explained by Component

1

2

3

3.988

1.017

0.495

Percent of Total Variance Explained

1

2

3

66.463

16.95

8.251

What are the values of the summary statistics marked ???? – note there are two – one for variance explained and the other for proportion variance explained.

How would you interpret the first component? What is the significance of the negative loading for birth mortality?

How do you interpret the second component?

How would you interpret the third component?

1

2

3

4

5

6

3.988

1.017

0.495

0.339

0.128

0.033

Explanation / Answer

What are the values of the summary statistics marked ???? – note there are two – one for variance explained and the other for proportion variance explained.

Answer:

We observe that first component explained 66.463%, 2nd component explained 16.95% while 3rd explained 8.251% of the variance. So this means that first two components explained appropriate variance.

How would you interpret the first component? What is the significance of the negative loading for birth mortality?

Answer:

Component loading is higher for urban,liefexpf,literacy,babymort,gdp_cap, so first component explain all these variables.

Birth mortality has negative loading because it is negatively correlated with all other variables urban,liefexpf,literacy, ,gdp_cap.

How do you interpret the second component?

Answer:

Second component has high loading on to density indicating it represents this only

How would you interpret the third component?

Answer:

Third component is of no use as it has small compoannet loading with all variables.

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