Consider the data. 3 12 6 20 14 55 35 45 15 15 The estimated regression equation for these data is y = 60.5 - 2.5x. (a) Compute SSE, SST, and SSR using equations SSE = E(y; - .)2, SST = >(y; - y)2, and SSR = >(), - 7)2. SSE = SST = SSR = (b) Compute the coefficient of determination /2. (Round your answer to three decimal places.) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) O The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares line. O The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line. O The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line. O The least squares line did not provide a good fit as a small proportion of the variability in y has been explained by the least squares line. (c) Compute the sample correlation coefficient. (Round your answer to three decimal places.)