A Simple Linear Regression Problem Produced the Following Sum of Squares

Short Answer

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?