You are given data about the per capita personal income

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Question:

C1-T INTERNET GDP CO2 CELLULAR FERTILITY LITERACY
Algeria 0.65 6.09 3 0.3 2.8 58.3
Argentina 10.08 11.32 3.8 19.3 2.4 96.9
Australia 37.14 25.37 18.2 57.4 1.7 100
Austria 38.7 26.73 7.6 81.7 1.3 100
Belgium 31.04 25.52 10.2 74.7 1.7 100
Brazil 4.66 7.36 1.8 16.7 2.2 87.2
Canada 46.66 27.13 14.4 36.2 1.5 100
Chile 20.14 9.19 4.2 34.2 2.4 95.7
China 2.57 4.02 2.3 11 1.8 78.7
Denmark 42.95 29 9.3 74 1.8 100
Egypt 0.93 3.52 2 4.3 3.3 44.8
Finland 43.03 24.43 11.3 80.4 1.7 100
France 26.38 23.99 6.1 60.5 1.9 100
Germany 37.36 25.35 9.7 68.2 1.4 100
Greece 13.21 17.44 8.2 75.1 1.3 96.1
India 0.68 2.84 1.1 0.6 3 46.4
Iran 1.56 6 4.8 3.2 2.3 70.2
Ireland 23.31 32.41 10.8 77.4 1.9 100
Israel 27.66 19.79 10 90.7 2.7 93.1
Japan 38.42 25.13 9.1 58.8 1.3 100
Malaysia 27.31 8.75 5.4 31.4 2.9 84
Mexico 3.62 8.43 3.9 21.7 2.5 89.5
Netherlands 49.05 27.19 8.5 76.7 1.7 100
New Zealand 46.12 19.16 8.1 59.9 2 100
Nigeria 0.1 0.85 0.3 0.3 5.4 57.7
Norway 46.38 29.62 8.7 81.5 1.8 100
Pakistan 0.34 1.89 0.7 0.6 5.1 28.8
Philippines 2.56 3.84 1 15 3.2 95
Russia 2.93 7.1 9.8 5.3 1.1 99.4
Saudi Arabia 1.34 13.33 11.7 11.3 4.5 68.2
South Africa 6.49 11.29 7.9 24.2 2.6 85
Spain 18.27 20.15 6.8 73.4 1.2 96.9
Sweden 51.63 24.18 5.3 79 1.6 100
Switzerland 30.7 28.1 5.7 72.8 1.4 100
Turkey 6.04 5.89 3.1 29.5 2.4 77.2
United Kingdom 32.96 24.16 9.2 77 1.6 100
United States 50.15 34.32 19.7 45.1 2.1 100
Vietnam 1.24 2.07 0.6 1.5 2.3 90.9
Yemen 0.09 0.79 1.1 0.8 7 26.9

You are given data about the per capita personal income and infant mortality rate for a number of Tennessee Counties during 2010.

a. Generate a scatterplot of the two variables. What might this relationship imply?

b. Compute the Pearson's correlation coefficient between the two variables.

c. Provide an interpretation of the correlation obtained. Refer to both the strength and direction of the correlation in your interpretation.

d. Also interpret the correlation in terms of r-squared (coefficient of determination). Be careful not to infer cause and effect.

Reference no: EM13583680

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