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Chris Spencer added Question 8.tex
about 10 years ago
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\subsection{Question 8}
$r^2$ value gives the percent of variance of y accounted for by the regression model. $r^2$ values for the homeruns and runs graph was $r^2=0.63$ compared to the graph of at bats and runs which had $r^2=0.37$. Having a higher value means the model explains the variation around the mean well, a lower value says the model doesnt explain the variance well. So Homeruns and runs better explains the variation than the at bats and runs does. This is to say there is less total variation in the homeruns and runs graph.
