A quadratic regression model is fit to a set of sample data consisting of 6 pairs of data. Given that the sum of squares of residuals is $16.02$ and that the $y$-values are $11,14,19,22,26,27$, find
$$R ^ { 2 } = 1 - \frac { \sum ( y - \hat { y } ) ^ { 2 } } { \sum ( y - \bar { y } ) ^ { 2 } } .$$
A) $0.077$
B) $0.935$
C) $0.916$
D) $0.923$

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The Answer of A quadratic regression model is fit to a set of sample data consisting of 6 pairs of data. Given that the sum of squares of residuals is $16.02$ and that the $y$-values are $11,14,19,22,26,27$, find
$$R ^ { 2 } = 1 - \frac { \sum ( y - \hat { y } ) ^ { 2 } } { \sum ( y - \bar { y } ) ^ { 2 } } .$$
A) $0.077$
B) $0.935$
C) $0.916$
D) $0.923$

A Quadratic Regression Model Is Fit to a Set of Sample