X; 2 5 Y, 4 86 10 12 The estimated regression equation for these data is ý = 2.60 + 1.80x. (a) Compute SSE, SST, and SSR using equations SSE - 2(y, - ŷ², sST = 2(y, - 7)², and SSR = 1(9, - 7². SSE - SST - SSR (b) Compute the coefficient of determination r. 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 lea O The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squ O The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squa 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 lea (c) Compute the sample correlation coefficient. (Round your answer to three decimal places.)

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.