Gini coefficient is a statistic used to measure income inequality within nations. It ranges from 0 to 100, with higher scores indicating more inequality. At the extremes, a Gini score of 0 would mean that everyone in the country earns the exact same income, and a Gini score of 100 would mean that only one person in the country earns all the income. Some people argue that the larger a nation is, the more difficult it is to maintain a fair distribution of incomes. In other words, does income inequality increase as population size increases? You can test this question by conducting a bivariate regression on the data in the table below. Throughout calculating, and for the final answer, round to two decimals.  ***Must show work on PDF for completing this computational table and for the following 9 questions*** Country (1) X: Population  (in millions) (2) Y: Gini Score (3)  (4)  (5)  (6)  (7) Sweden 8 27           Ethiopia 77 29           Switzerland 14 43           Laos 6 45           UK 58 35           Russia 144 44           US 291 40           Mexico 111 46           Brazil 190 56

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
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Gini coefficient is a statistic used to measure income inequality within nations. It ranges from 0 to 100, with higher scores indicating more inequality. At the extremes, a Gini score of 0 would mean that everyone in the country earns the exact same income, and a Gini score of 100 would mean that only one person in the country earns all the income.

Some people argue that the larger a nation is, the more difficult it is to maintain a fair distribution of incomes. In other words, does income inequality increase as population size increases? You can test this question by conducting a bivariate regression on the data in the table below.

Throughout calculating, and for the final answer, round to two decimals. 

***Must show work on PDF for completing this computational table and for the following 9 questions***

Country

(1)

X: Population

 (in millions)

(2)

Y: Gini Score

(3)

 (4)

 (5)

 (6)

 (7)

Sweden

8 27

 

 

 

 

 

Ethiopia

77 29

 

 

 

 

 

Switzerland

14 43

 

 

 

 

 

Laos

6 45

 

 

 

 

 

UK

58 35

 

 

 

 

 

Russia

144 44

 

 

 

 

 

US

291 40

 

 

 

 

 

Mexico

111 46

 

 

 

 

 

Brazil

190 56

 

 

 

 

 

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