Derivation of partitioning of total variability

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it is a sum of squares in anova(analysis of data). how can i derive this equation?tnx..
 

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-\bar{Y}_{i.} + \bar{Y}_{i.} = 0

So you can place that anywhere and you change nothing, it is a common trick.
 
viraltux said:
-\bar{Y}_{i.} + \bar{Y}_{i.} = 0

So you can place that anywhere and you change nothing, it is a common trick.
what is my working equation so i can arrive at the sum of squares identity?
 

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