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Data Was Collected for 30 Professional Tennis Players Regarding Their

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Data was collected for 30 professional tennis players regarding their performance in Grand Slams (the four major tennis tournaments in the world). The response variable Win, expressed as a proportion ranging from 0 to 1, is believed to depend on two explanatory variables: the percentage of the Double Faults and the number of Aces. The following model is estimated: Win = β0 + β1DoubleFaults + β2Aces + ε. A portion of the regression results is shown in the accompanying table. Data was collected for 30 professional tennis players regarding their performance in Grand Slams (the four major tennis tournaments in the world). The response variable Win, expressed as a proportion ranging from 0 to 1, is believed to depend on two explanatory variables: the percentage of the Double Faults and the number of Aces. The following model is estimated: Win = β<sub>0</sub> + β<sub>1</sub>DoubleFaults + β<sub>2</sub>Aces + ε. A portion of the regression results is shown in the accompanying table.   a. Predict the winning percentage for a player who had 20 double faults and five aces. B) Interpret the slope coefficient for the variable DoubleFaults. C) Calculate the standard error of the estimate. D) Calculate and interpret the coefficient of determination. E) Calculate the adjusted R<sup>2</sup>. a. Predict the winning percentage for a player who had 20 double faults and five aces.
B) Interpret the slope coefficient for the variable DoubleFaults.
C) Calculate the standard error of the estimate.
D) Calculate and interpret the coefficient of determination.
E) Calculate the adjusted R2.


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