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Given that, sample size (n) = 90sum of squares of regression (SSR) = 923.64 and standard error of the estimate (S​​​​​​est) =2.17\begin{array}{l}S_{\text {est }}=\sqrt{\frac{S S E}{n-2}} \\ =>S S E=S_{\text {est }}^{2} *(n-2) \\ =>S S E=(2.17)^{2} *(90-2) \\ =>S S E=414.3832\end{array}=> SST = SSR + SSE = 923.64 + 414.3832 = 1338.0232We want to find, coefficient of determination(R​​​​​​2),R^{2}=\frac{S S R}{S S T}=\frac{923.64}{1338.0232}=0.6903=> R​​​​​​2 = 0.6903 (69.03%)Answer : Coefficient of determination =69.03% ...