A simple linear regression problem produced the following sum of squares: $\sum \left( y _ { i } - \bar { y } \right) ^ { 2 }$ = 240, $\sum \left( y _ { i } - \hat { y } _ { i } \right) ^ { 2 }$ = 60, $\sum \left( \\hat { y } _ { i } - \bar { y } \right) ^ { 2 }$ = 180
What percentage of the variation in y is explained by the regression line?

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The Answer of A simple linear regression problem produced the following sum of squares: $\sum \left( y _ { i } - \bar { y } \right) ^ { 2 }$ = 240, $\sum \left( y _ { i } - \hat { y } _ { i } \right) ^ { 2 }$ = 60, $\sum \left( \\hat { y } _ { i } - \bar { y } \right) ^ { 2 }$ = 180
What percentage of the variation in y is explained by the regression line?

A Simple Linear Regression Problem Produced the Following Sum of Squares