Unformatted text preview: sls=.15, sle=.15 ). What model is selected? Print out the results of this analysis. • If using R, based on using minimum BIC criterion 6) RPD: 7.1, 7.2, 7.3, 7.4, 7.13 Use your best model from the lpga1.dat dataset (part 4) on lpga2.dat to validate the model. Use the model set up in Example 7.9 to: 1. Obtain Predicted values for lpga2 dataset, based on the regression from the lpga1 dataset (be sure and use (natural) logarithm of Prize Winnings. 2. Obtain δ = PY for each of the golfers, as well as the mean and sd of δ 3. Conduct the ttest of H : Bias is 0 at α = 0.05 significance level. 4. Obtain the Mean Squared Error of Prediction (MSEP) 5. What proportion of MSEP is due to bias in the predicted values?...
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 Fall '08
 Park
 Statistics, Regression Analysis, LPGA, ladies professional golf, dataset lpga1.dat, Prize Winnings

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