Consider the data. Y," 4 7 5 11 15 The estimated regression equation for these data is 1? = 0.60 + 2.60x. (a) Compute SSE, SST, and SSR using equations SSE = 2U!\" 9:.)2, SST = EU!\" ;)2, and SSR = 26?}. ;}2. ss.-_, 55-, ss= (b) Compute the coefcient of determination r2. .2- Comment on the goodness of t. (For purposes of this exercise, consider a proportion large if it is at least 0.55.} O The least squares line provided a good t as a large proportion of the variability in y has been explained by the least squares line. 0 The least squares line provided a good t as a small proportion of the variability in y has been explained by the least squares line. 0 The least squares line did not provide a good t as a small proportion of the variability in y has been explained by the least squares line. The least squares line did not provide a good t as a large proportion of the variability in y has been explalned by the least squares line. (c) Compute the sample correlation coefcient. (Round your answer to three decimal places.) 0.433 x