R

SS(mean) = sum of squares around the mean
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When calculating SS(mean), we collapsed the points onto the y-axis just to emphsize the fact that we were ignoring mouse weight.image.png
In general: R2 - 图3

R tells us how much of the variation in mouse size can be explained by taking mouse weight into account.
R needs to be large.

R2 - 图4
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adjusted R: scales R by the number of parameters

p-value

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p is the number of parameters in the fit line
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Determines how reliable that relationship is (this is the p-value that we calculate with F).
This needs to be small.