Partitioning The Sum of Squares in Linear Regression
Theorem. Given a linear regression model including a constant based on a sample containing n observations, the total sum of squares (TSS) can be partitioned as follows into the explained sum of squares (ESS) and the residual sum of squares (RSS):
where this equation is equivalent to each of the following forms:
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