Consider the data. Vi 4 8 5 ll 13 The estimated regression equation for these data is )7' : 1.90 + 2.1CIX. 3 Compute SSE, SST, and SSH using equations SSE : I y. 3? 2, SST : E y 172, and SSR : E 1? 172. l J ,. ,. l l (b) Compute the coefficient of determination r2. .2.: Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) 'f' 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. '31' The least squares line did not provide a good fit as a small proportion of the variability in it has been explained by the least squares line. C' The least squares line did not provide a good fit as a large proportion oi: the variability in 3! has been explained by the least squares line. '-:' 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. (c) Compute the sample correlation coefficient. (Round your answer to three decimal places.) :I