The least squares regression equation for the data in the table is ỹ = 13.5x + 58.4. The R-value is 0.977.
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у
0
65
2.
82
4
107
6
134
8
174
Why might you use a linearized model instead?

Suppose that 3% of all athletes are using the endurance-enhancing hormone epo (you should be able to simply compute the percentage of all athletes that are not using epo). for our purposes, a “positive” test result is one that indicates presence of epo in an athlete’s bloodstream. the probability of a positive result, given the presence of epo is .99. the probability of a negative result, when epo is not present, is .90. what is the probability that a randomly selected athlete tests positive for epo? 0.0297