The researchers cited in the previous problem also examined the weight/salary relationship for men and found a positive relationship, suggesting that we have very different standards for men than for women (Judge & Cable, 2010). The following are data similar to those obtained for a sample of male profession- als. Again, weight relative to height is coded in five categories from 1 = thinnest to 5 = heaviest. Income is recorded as thousands earned annually. a. Calculate the Pearson correlation for these data. b. Is the correlation statistically significant? Use a two-tailed test with a = = .05. Weight (X) Income (Y) 4 151 88 3 52 73 1 49 3 92 1 56 143

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13. The researchers cited in the previous problem also
examined the weight/salary relationship for men and
found a positive relationship, suggesting that we have
very different standards for men than for women
(Judge & Cable, 2010). The following are data similar
to those obtained for a sample of male profession-
als. Again, weight relative to height is coded in five
categories from 1
is recorded as thousands earned annually.
a. Calculate the Pearson correlation for these data.
b. Is the correlation statistically significant? Use a
thinnest to 5 = heaviest. Income
two-tailed test with a = .05.
Weight (X)
Income (Y)
4
151
5
88
3.
52
73
1
49 ·
3
92
1
56
143
Transcribed Image Text:13. The researchers cited in the previous problem also examined the weight/salary relationship for men and found a positive relationship, suggesting that we have very different standards for men than for women (Judge & Cable, 2010). The following are data similar to those obtained for a sample of male profession- als. Again, weight relative to height is coded in five categories from 1 is recorded as thousands earned annually. a. Calculate the Pearson correlation for these data. b. Is the correlation statistically significant? Use a thinnest to 5 = heaviest. Income two-tailed test with a = .05. Weight (X) Income (Y) 4 151 5 88 3. 52 73 1 49 · 3 92 1 56 143
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