1.

Consider the data. The estimated regression equation for these data is )7 = 2.30 + 1.90x. (a) Compute SSE, SST, and SSR using equations SSE = 2(y1 m2, SSI' = 2(y. W, and SSR = 207. )7)? I I l' I (b) Compute the coefcient of determination r2. A: 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 large 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. (c) Compute the sample correlation coefcient. (Round your answer to three decimal places.) :l