simple linear regressio

Ss0 has just one degree of freedom since it can be

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! SS0 has just one degree of freedom since it can be computed simply from ! SST has n-1 degrees of freedom, since one parameter must be calculated from the data before SST can be computed.
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14-21 ©2008 Raj Jain CSE567M Washington University in St. Louis Standard Deviation of Errors (Cont) Standard Deviation of Errors (Cont) ! SSR, which is the difference between SST and SSE, has the remaining one degree of freedom. ! Overall, ! Notice that the degrees of freedom add just the way the sums of squares do.
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