Question: please answer a, b and c! thank you... Consider the data X 1 2 3 4 5 8 4 12 12 The estimated regression equation

please answer a, b and c! thank you...

Consider the data X 1 2 3 4 5 8 4 12 12 The estimated regression equation for these data is 9 -2.00 +2.00% (a) Compute SSE, SST, and SSR using equations SSE - EGY,- 9,1 SST - XY,- . and SSR-319,-) SSE - SST - SSR = (b) Compute the coefficient of determination ? Comment on the goodness of st. (For purposes of this exercise, consider a proportion targe if it is at least 0.55.) The least squares line did not provide a good nt as a small proportion of the variability in y 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. The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squaresine 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 tine. (c) Compute the sample correlation coefficient. (Round your answer to three decimal places.)

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