In simple linear regression analysis, SST is the total sum of squares, SSE is the error sum of squares, and SSR is the regression sum of squares. The coefficient of determination $Y ^ { 2 }$ is given by $Y ^ { 2 } =\underline{\quad\quad}$ $/ S S T$ or $Y ^ { 2 } = 1 -\underline{\quad\quad}$/$( \operatorname { SST } )$

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The Answer of In simple linear regression analysis, SST is the total sum of squares, SSE is the error sum of squares, and SSR is the regression sum of squares. The coefficient of determination $Y ^ { 2 }$ is given by $Y ^ { 2 } =\underline{\quad\quad}$ $/ S S T$ or $Y ^ { 2 } = 1 -\underline{\quad\quad}$/$( \operatorname { SST } )$

In Simple Linear Regression Analysis, SST Is the Total Sum Y2Y ^ { 2 }Y2

In Simple Linear Regression Analysis, SST Is the Total Sum $Y ^ { 2 }$