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Hoyoung Yang
Woodruff,
Tuesday 3:30 pm
Assignment 3
The equation for the linear regression line is Y=4E05x+5.9978. In this equation, Y represents the infant
mortality, and x represents GDP per capita. To predict the infant mortality for the United States in 1995, we
have to substitute the level of GDP per capita of US into the equation. Thus we have, Y=4E05(X)+5.9978
= 4E05(
30845.19) + 5.9978
= 1.2338076 + 5.9978
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Unformatted text preview: = 4.7639924 Thus, the predicted level of infant mortality for the United States in 1995, based on its GDP per capita is 4.7639924. However, the actual infant mortality for the United States in 1995 was 6.9. Thus, the difference between the actual infant mortality and the predicted infant mortality is 6.9 4.7639924 = 2.1360076....
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This note was uploaded on 10/05/2010 for the course POLITICS 122 taught by Professor Harvey during the Spring '10 term at NYU.
 Spring '10
 HARVEY

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