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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

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

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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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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