In a simple linear regression problem, the following statistics are given: $\sum x _ {i } = 10 , \sum x _ { i } ^ { 2 } = 55 , \sum x _ {i } y _ { i } = 130 , \sum y _ { 2 } = 40 , \sum y _ { i } ^ { 2 } = 330 , \hat { \beta } _ { 0 } = 2.50 \text { and } \hat { \beta } _ { 1 } = 1.75$ Then, the error sum of squares is __________.

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The Answer of In a simple linear regression problem, the following statistics are given: $\sum x _ {i } = 10 , \sum x _ { i } ^ { 2 } = 55 , \sum x _ {i } y _ { i } = 130 , \sum y _ { 2 } = 40 , \sum y _ { i } ^ { 2 } = 330 , \hat { \beta } _ { 0 } = 2.50 \text { and } \hat { \beta } _ { 1 } = 1.75$ Then, the error sum of squares is __________.

In a Simple Linear Regression Problem, the Following Statistics Are