For my test i took Brett Favre's stats for completions to attempts from 1992 to 2009.
The linear regression equation came out to be y=.37x+135.2 The correlation coefficient is .71. For every 135.2 throws Favre's completion rise by .37 catches. Using scatter plots and being able to use this kind of information is very important. People use this kind of analyzing data to figure what possible completions would be for the next season. I'm sure vegas uses this kind of technique for the odds for teams to win the Superbowl the next year on a larger more challenging scale. Using the scatter plots is a easier less accurate way of predicting the stats or info for the next year or next set of data.
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