DATAfile: Sales A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ý = 80 Years of Annual Sales Salesperson Experience ($1,000s) 1 80 2 3 97 3 4 92 4 4 102 103 6 111 7 10 119 8 10 123 9 11 117 10 13 136 (a) Compute SST, SSR, and SSE. SST = 2502 X SSR = 2272 SSE = 230 X (b) Compute the coefficient of determination r. (Round your answer to three decimal places.) ,2= 908 x Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) 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 did not provide a good fit 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 small proportion of the variability in y has been explained by the least squares line. 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 line. (c) What is the value of the sample correlation coefficient? (Round your answer to three decimal places.) .953X

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Q4 7.4

Q6 7.3

12:14 PM Mon Mar 22 @ 74% 2020 Algebra Home Insert Draw View A Text Mode Insert Space + Lasso Select Main Idea: Solving Quadratic Equations not in Standard Form 4) Solve and check. C-8 -5 C >> Topic: Quadratic Equations Main Idea: Solving Quadratic Equations not in Standard Form || 3.