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STATE: Does the physiology of women make them better suited than men to longdistance running? Will women eventually outperform men in longdistance races? Researchers examined

STATE: Does the physiology of women make them better suited than men to longdistance running? Will women eventually outperform men in longdistance races? Researchers examined data on world record times (in seconds) for men and women in the marathon. Based on these data, researchers (in 1992) attempted to predict when women would outrun men in the marathon. The tables contain the data for women and for men.

Year 1926 1964 1967 1970 1971 1974 1975
Time

13222.0

11973.0

11246.0

10973.0

9990.0

9834.5

9499.0

Year 1977 1980 1981 1982 1983 1985
Time

9287.5

9027.0

8806.0

8771.0

8563.0

8466.0

Year 1908 1909 1913 1920 1925 1935 1947
Time

10518.4

9751.0

9366.6

9155.8

8941.8

8802.0

8739.0

Year 1952 1953 1954 1958 1960 1963 1964
Time

8442.2

8314.8

8259.4

8117.0

8116.2

8068.0

7931.2

Year 1965 1967 1969 1981 1984 1985 1988
Time

7920.0

7776.4

7713.6

7698.0

7685.0

7632.0

7610.

PLAN: Analyze these data using leastsquares regression to estimate when men and women's record times will be equal. How reliable is your estimate? (You may wish to look online to find the current men's and women's record times.)

SOLVE: Find the leastsquares regression line for predicting record time from year for women.

A. =182976.1587.73

B. =87.73182976.15

C. =182976.15+87.73

D. =2066+0.009445

E. =182976.1587.73

F. =0.0094452066

G. =182976.15+87.73

H. =20660.009445

Find the leastsquares regression line for predicting record time from year for men.

A. =0.030642210

B. =29.535-66,072

C. =66072+29.535

D. =29.535+66,072

E. =66072-29.535

F. =22100.03064

G. =2210+0.03064

H. =66072-29.535

CONCLUDE: Use leastsquares regression to estimate when men and women's record times will be equal. Choose the correct statement.

A. Using the regression lines plotted, we might expect women to outrun men by the year 2009.

B. Using the regression lines plotted, we might expect women to outrun men by the year 2029.

C. Using the regression lines plotted, we might expect women to outrun men by the year 1980.

D. Using the regression lines plotted, we might expect women to outrun men by the year 1998.

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