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.) A. For each additional win, there is an average of more strike-outs. OB. 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.) OA. With 0 wins, there should be about OB. With 0 wins, there should be about strike-outs. Since there is no data near this region, this extrapolation could be misleading. strike-outs. Although there is no data near this region, as an extrapolation of the regression equation it is a valid conclusion. wins. Since there is no data near this region, this extrapolation could be misleading. OC. With 0 strike-outs, there should be about OD. 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. 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. ○ A. 25- Q 90 SOs 270 О в. 270- ○ C. Q 25- 90- 90 270 SOs Wins The slope of the scatterplot is b. Use linear regression to find the equation of the best-fit line. + ☑ ○ D. 270- 90- Wins 25

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