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Unformatted text preview: X ) = Covariance ( X,Y ) = *Answers may differ slightly due to rounding. a. The Correlation coefficient is –0.47. This does support the hypothesis, since greater education is associated with fewer children. b. Ŷ = 6.10 - .323 X c. The predicted number of children is CHILDS = Ŷ = 6.10 - .323(16) =0 .93 d. Yes, a respondent with 11 or 12 years of education has only 1 child. The fact that this person does not have 16 years of education is not an indication that the equation is incorrect. We don’t expect that a linear relationship will fit the data perfectly; in other words, there is always error in predictions....
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This note was uploaded on 07/13/2011 for the course SOC 301 taught by Professor Heberle during the Spring '11 term at University of Louisville.
- Spring '11