In regression analysis, the total variation in the dependent variable y, measured by $\sum \left( y _ { i } - \bar { y } \right) ^ { 2 }$ , can be decomposed into two parts: the explained variation, measured by SSR, and the unexplained variation, measured by SSE.

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In regression analysis, the total variation in the dependent variable is decomposed into the explained variation (SSR) and the unexplained variation (SSE), where the total variation is the sum of these two components.

In Regression Analysis, the Total Variation in the Dependent Variable ∑(yi−yˉ)2\sum \left( y _ { i } - \bar { y } \right) ^ { 2 }∑(yi​−yˉ​)2

In Regression Analysis, the Total Variation in the Dependent Variable $\sum \left( y _ { i } - \bar { y } \right) ^ { 2 }$