It's often important to tell the correlation between multiple values, and the subsequent regression line that shows the "best fit" for your data.
Lets say you had some data of a field event with 1000 runners, plotted with two variables corresponding to the runner's age and time to finish the race. You could find a regression for this data that could help you approximate a given runner's time for their specific age at a next event.... I just came up with this...there are thousands of other possibilities.
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