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ecommended.) Median Weekly Earnings 1980 1985 1990 1995 2000 2002 Women (x) 415 444 462 475 514 531 Men (y) 538 548 549 561 602 610 (a) Find, to the nearest hundredth, the linear correlation coefficient for the data. (b) On the basis of your answer to part (a), would you say that there is a strong linear relationship, at the Iri > 0.9 level, between the median weekly earnings of women and the median weekly earnings of men? O No. The median income of men rose as the median income of women fell. O No. The median income of men fell as the median income of women rose. O Yes. The median income of men fell as the median income of women fell. O Yes. The median income of men rose as the median income of women rose. The median income of men does not correlate with the median income of women.

ecommended.) Median Weekly Earnings 1980 1985 1990 1995 2000 2002 Women (x) 415 444 462 475 514 531 Men (y) 538 548 549 561 602 610 (a) Find, to the nearest hundredth, the linear correlation coefficient for the data. (b) On the basis of your answer to part (a), would you say that there is a strong linear relationship, at the Iri > 0.9 level, between the median weekly earnings of women and the median weekly earnings of men? O No. The median income of men rose as the median income of women fell. O No. The median income of men fell as the median income of women rose. O Yes. The median income of men fell as the median income of women fell. O Yes. The median income of men rose as the median income of women rose. The median income of men does not correlate with the median income of women.

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 15PPS
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The following table lists the median weekly earnings, in dollars, for women and men for selected years from 1980 to 2002. (A graphing calculator is recommended.) Median Weekly Earnings 1980 1985 1990 1995 2000 2002 Women (x) 415 444 462 475 514 531 Men (y) 538 548 549 561 602 610 (a) Find, to the nearest hundredth, the linear correlation coefficient for the data. (b) On the basis of your answer to part (a), would you say that there is a strong linear relationship, at the |r| > 0.9 level, between the median weekly earnings of women and the median weekly earnings of men? No. The median income of men rose as the median income of women fell. No. The median income of men fell as the median income of women rose. Yes. The median income of men fell as the median income of women fell. Yes. The median income of men rose as the median income of women rose. The median income of men does not correlate with the median income of women.
Transcribed Image Text:The following table lists the median weekly earnings, in dollars, for women and men for selected years from 1980 to 2002. (A graphing calculator is recommended.) Median Weekly Earnings 1980 1985 1990 1995 2000 2002 Women (x) 415 444 462 475 514 531 Men (y) 538 548 549 561 602 610 (a) Find, to the nearest hundredth, the linear correlation coefficient for the data. (b) On the basis of your answer to part (a), would you say that there is a strong linear relationship, at the |r| > 0.9 level, between the median weekly earnings of women and the median weekly earnings of men? No. The median income of men rose as the median income of women fell. No. The median income of men fell as the median income of women rose. Yes. The median income of men fell as the median income of women fell. Yes. The median income of men rose as the median income of women rose. The median income of men does not correlate with the median income of women.
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