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Question

Using data from 176 male golfers on the 2009 PGA tour, a least-squares model was calculated to predict scoring average (y)(y) using x1=x_1= driving average (in yards), x2=x_2= driving accuracy (measured as a percent from 0 to 100), x3=x_3= putts per green-in-regulation (the average number of putts per hole when the green is reached in regulation), x4=x_4= sand save percent (the percentage of times a player hits his ball into a sand trap and successfully makes it into the hole in two or fewer additional strokes, measured as a percent from 0 to 100 ), and x5=x_5= over 40 years old ( 1 if over 40,0 if 40 or younger). Remember that lower scores are better in golf! The model is

y^=69.60.041x10.072x2+10.603x30.0265x40.026x5s=0.34\begin{aligned} & \hat{y}=69.6-0.041 x_1-0.072 x_2+10.603 x_3-0.0265 x_4-0.026 x_5 \\ & s=0.34 \end{aligned}

a) Interpret the value of s=0.34s=0.34.

b) Predict the 2009 scoring average for Tiger Woods, who had a driving average of 298.4298.4, a driving accuracy of 64.3 %, a putts per green-inregulation average of 1.7431.743, a sand save percentage of 61.9%, and who is younger than 40 years old in 2009.

c) Tiger Woods actually had a scoring average of 68.8468.84 in 2009. Calculate and interpret his residual. (d) Interpret the coefficients of driving average and putts per green-inregulation.

e) After factoring in other variables, does the model suggest that it helps to be older? Explain. Why might this be?

Solution

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a)\textbf{a)} The interpretation of this value is that the actual scoring averages were roughly 0.340.34 points away from their predicted value when using the given model.

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