12. In the Chapter Preview we discussed a study by Judge and Cable (2010) demonstrating a negative rela- tionship between weight and income for a group of women professionals. The following are data...

12. In the Chapter Preview we discussed a study by Judge<br>and Cable (2010) demonstrating a negative rela-<br>tionship between weight and income for a group of<br>women professionals. The following are data similar<br>to those obtained in the study. To simplify the weight<br>variable, the women are classified into five categories<br>that measure actual weight relative to height, from<br>1 = thinnest to 5 = heaviest. Income figures are annual<br>income (in thousands), rounded to the nearest $1,000.<br>a. Calculate the Pearson correlation for these data.<br>b. Is the correlation statistically significant? Use a<br>two-tailed test with a = .05.<br>Weight (X)<br>Income (Y)<br>115<br>78<br>1<br>4<br>53<br>3<br>63<br>37<br>84<br>5<br>41<br>3<br>51<br>94<br>1<br>44<br>

Extracted text: 12. In the Chapter Preview we discussed a study by Judge and Cable (2010) demonstrating a negative rela- tionship between weight and income for a group of women professionals. The following are data similar to those obtained in the study. To simplify the weight variable, the women are classified into five categories that measure actual weight relative to height, from 1 = thinnest to 5 = heaviest. Income figures are annual income (in thousands), rounded to the nearest $1,000. 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) 115 78 1 4 53 3 63 37 84 5 41 3 51 94 1 44

Jun 06, 2022

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12. In the Chapter Preview we discussed a study by Judge and Cable (2010) demonstrating a negative rela- tionship between weight and income for a group of women professionals. The following are data...

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