Using Linear Functions to Model Real-World Data


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Table Men[22,2] contains the Men's Long Jump Olympics Gold Medal Performances for the years 1896 to 1992.

Carefully examine the plot of the data. Note that there are breaks in the data for the years 1912 to 1920 and 1936 to 1948. What happened in these years? Also, note the stellar performance by Bob Beamon in the 1968 Olympics in the mile high city of Mexico City.


Does the data appear to have a linear trend? If so, let's find the least squares line fit to the data.


Interpret the meaning of the slope (0.706763) of this line. What does it suggest will happen between each Olympics (every four years)?


Table Women[22,2] contains the Women's Long Jump Olympics Gold Medal Performances for the years 1948 to 1992.

Data for women



Interpret the meaning of the slope (1.17024) of this line. What does it suggest will happen between each Olympics (every four years)?

Compare the women's trend line to the men's trend line. What do the trend lines appear to be predicting for the future?

Let's investigate the future predictions (the ever dangerous extrapolations) of these trend lines.



Interpret these graphs.

To find the point where the two lines intersect,



What do these trend lines predict will happen in the 2108 Olympics?

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Copyright 2000-2008 Adam O. Hausknecht and Robert E. Kowalczyk