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In a Simple Linear Regression Problem,the Following Sum of Squares (yiyˉ)2=200\sum \left( y _ { i } - \bar { y } \right) ^ { 2 } = 200

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In a simple linear regression problem,the following sum of squares are produced: (yiyˉ) 2=200\sum \left( y _ { i } - \bar { y } \right) ^ { 2 } = 200 , (γiy^i) 2=50\sum \left( \gamma _ { i } - \hat { y } _ { i } \right) ^ { 2 } = 50 ,and (y~iyˉ) 2=150\sum \left( \tilde { y } _ { i } - \bar { y } \right) ^ { 2 } = 150 .The percentage of the variation in y that is explained by the variation in x is:


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