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Prove SSM SST R: Evi n Residuals(error): e = yi i SSE SST = where SSE(sum of squares error) = (e;) SST(sum of squares

Prove SSM SST R: Evi n Residuals(error): e = Yi - i SSE SST = where SSE(sum of squares error) = (e;) SST(sum

Prove SSM SST R: Evi n Residuals(error): e = yi i SSE SST = where SSE(sum of squares error) = (e;) SST(sum of squares total) = 1(y - y) SSM(sum of squares model) =SSM = [(i y) Sample mean: y Predicted: Vi SSM SST = 1- SSE SST 1 using definitions given above. (Hint: e; = 0, eii = 0)

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