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# GE 423 - education by 94 7 r=.12 Pearson’s r indicated a...

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Brandon Moczygemba CJ 3347 GE 423 1. Male respondents tend to spend more time on the World Wide Web than do female respondents. Male respondents spend an average 6.9hrs on the World Wide Web each week which doesn’t include e-mail, whereas female respondents spend almost 2hrs less on average, 5.08hrs. The difference is noticeable. Males spend about 1/3 more time on the World Wide Web compared to females. 3. The more education the respondents have, the more education their spouses tend to have. The association is positive and a fairly strong one. 5. r=.97. Pearson’s r indicates a very strong positive association between the respondents’ years of education and their spouses’ years of education. The more education the respondents have, the more education their spouses are likely to have. The r-squared tells us that 94% of the variation in the respondents’ years of education. Another way to express it is that knowing the respondents’ years of education improves our ability to predict their spouses’ years of
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Unformatted text preview: education by 94%. 7. r=.12. Pearson’s r indicated a fairly weak but positive association between the respondents’ ages and their years of education. The older the respondents are, the more years of education they are likely to have. The r-squared tells us that 1% of the variation in the respondents’ years of education can be accounted for by their ages. Another way to express it is that knowing the respondents’ ages improves our ability to predict their years of education by 1%. 9. r=.79. Pearson’s r indicates there is a strong positive association between the respondents’ ages and the hours they work each week. The older the respondents are, the more hours they work each week. The r-squared tells us that 62% of the variation in the hours the respondents work each week can be accounted for by their ages. Another way to express it is knowing the respondents’ age improves your ability to predict their hours worked by 62%...
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