a. Predict the winning percentage for a player who had 20 double faults and five aces (enter your answer as a percentage rounded to one decimal place.)

%

b.Interpret the interceptof the estimated regression equation. Enter the coefficient as a percentage.

The predicted

(Click to select)

winning proportion

number of double faults

number of aces

is% when the number of

(Click to select)

number of double faults and aces

winning proportion and number of double faults

winning proportion and number of aces

(Click to select)

increase by

decrease by

are equal to

.

c. Interpret the slope coefficient for the variableDoubleFaults. Enter the slope coefficient as an absolute percentage value andindicatewhether it increases or decreases.

The

(Click to select)

number of aces

number of double faults

winning proportion

is expected to

(Click to select)

decrease by

increase by

be equal to

% for each additional

(Click to select)

win

double fault

ace

, while holding the

(Click to select)

number of aces

number of double faults

winning proportion

constant.

d. Calculate the standard error of the estimate(enter your answer as a percentage rounded to one decimal.)

%

e. Calculate and interpret the coefficient of determination (enter your answer as a percentage rounded to one decimal.)

% of the

(Click to select)

variation in double faults

winning proportion

double faults

variation in winning proportion

can be explained by the

(Click to select)

number of double faults and aces

winning proportion and double faults

variation in winning proportion and double faults

variation in double faults and aces

.

f. Calculate the adjustedR²(enter your answer as a percentage rounded to one decimal.)

%

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 O to 1, is believed to depend on two explanatory variables: the number of double faults and the number of aces. The following model is estimated: Win 2 B0 i l DoubleFaults + 3211083 + e . A portion ofthe regression results is shown in the accompanying table. Regression 1.24 Residual 7 6.49 Total 9 1.64 Coefficients Standard Error Intercept 6.451 8.689 DoubLeFauLts e.ee7 6.9824 Aces 6.815 8.863