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A. 25- 270- 25- 270% SO SOs Wins Wins 90- 5-6 90 270 270 SOs Wins Wins SOs The slope of the scatterplot is b.

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A. 25- 270- 25- 270% SO SOs Wins Wins 90- 5-6 90 270 270 SOs Wins Wins SOs The slope of the scatterplot is b. Use linear regression to find the equation of the best-fit line. 10 - X Pitching Statistics lete your choice. SOs Wins SOs Wins 153 14 101 12 256 13 261 20 135 14 135 9 he answer box t 101 7 108 201 13 268 14 204 11 199 17 his region, this 123 98 8 255 14 238 18 ar this region, a 138 CO 128 181 13 264 15 235 12 242 ar this region, 00 0 32 135 193 11 189 15 his region, this 198 12 201 16 172 15 166 187 14 172 14 92 12 112 232 14 198 3 0 200 137 144 241 15 116 Print DoneK The accompanying table shows the number of wins and the number of strike-outs (SO) for 40 baseball pitchers in the major leagues in a certain year. Complete parts (a) through (d) below. Click the icon to view the table of wins and strike-outs. a. Make a scatterplot of the data, and state the sign of the slope from the scatterplot. Use strike-outs to predict wins. Choose the correct scatterplot below. O A. O B O C. OD. 25- 270- 25 1 270 Q Wins Wins .. My 90- 270 25 90 270 25 SOs SOs Wins Wins The slope of the scatterplot is b. Use linear regression to find the equation of the best-fit line. (Round to three decimal places as needed.) c. Interpret the slope. Select the correct choice below and fill in the answer box to complete your choice. (Round to three decimal places as needed.) O A. For each additional win, there is an average of more strike-outs. O B. For each additional strike-out, there is an average of more wins. d. Interpret the intercept and comment on it. Select the correct choice below and fill in the answer box to complete your choice. (Round to the nearest whole number as needed.) A. With 0 wins, there should be about strike-outs. Since there is no data near this region, this extrapolation could be misleading. O B. With 0 strike-outs, there should be about wins. Although there is no data near this region, as an extrapolation of the regression equation it is a valid conclusion. C. With 0 wins, there should be about strike-outs. Although there is no data near this region, as an extrapolation of the regression equation it is a valid conclusion. D. With O strike-outs, there should be about |wins. Since there is no data near this region, this extrapolation could be misleading

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