multiple regression was performed of y = life expectancy at birth on x₁ = mean years of schooling of adults over the age of 25, x2 = GDP per capita (gro onstant 2005 international $), and x3 = carbon dioxide emissions per capita (tonnes) for 31 countries. The data was obtained from the human developm ttp://hdr.undp.org/en/. Based on the following ANOVA table, calculate R² adj. Gelect one: O a. 76.3% O b. 54.3% Source DFSS MS F P Regression 3 530.63 176.88 28.97 0.000 Residual Error 27 164.85 6.11 Total 30 695.48

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A multiple regression was performed of y = life expectancy at birth on x₁ = mean years of schooling of adults over the age of 25, x2 = GDP per capita (gross domestic product in
constant 2005 international $), and x3 = carbon dioxide emissions per capita (tonnes) for 31 countries. The data was obtained from the human development website
http://hdr.undp.org/en/. Based on the following ANOVA table, calculate R² a
adj.
Select one:
a. 76.3%
O b. 54.3%
O c. 73.7%
O d. Cannot be determined from the information given
Source
DFSS MS IF P
Regression 3 530.63 176.88 28.97 0.000
Residual Error 27 164.85 6.11
Total
30 695.48
Transcribed Image Text:A multiple regression was performed of y = life expectancy at birth on x₁ = mean years of schooling of adults over the age of 25, x2 = GDP per capita (gross domestic product in constant 2005 international $), and x3 = carbon dioxide emissions per capita (tonnes) for 31 countries. The data was obtained from the human development website http://hdr.undp.org/en/. Based on the following ANOVA table, calculate R² a adj. Select one: a. 76.3% O b. 54.3% O c. 73.7% O d. Cannot be determined from the information given Source DFSS MS IF P Regression 3 530.63 176.88 28.97 0.000 Residual Error 27 164.85 6.11 Total 30 695.48
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