5. You have performed a simple linear regression model and ended up with Y(Y with a hat) = b0 + b1 x.
(a) In your own words, describe clearly what the coefficient of determination, r^2, measures.
(b) Suppose that your calculations produce r^2 = 0.215. As discussed in textbook, what can you conclude from this value? Furthermore, what can you say about the strength and direction of the relationship between the predictor and the response variable?
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