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surface and the difference between the value of par for the hole and the number of strokes the the 2 . Click on the datafile
surface and the difference between the value of par for the hole and the number of strokes the the 2 . Click on the datafile logo to reference the data. DATA If not otherwise stated, round your answers to the nearest whole number. Enter negative values as negative numbers. Earnings=(++ Putting Avg. regulation, and the percentage of times a player's tee shot comes to rest in the fairway. Earnings = fairway, contribute significantly to the estimated regression equation developed in part (a). Use Table 4 in Appendix B. F= The p-value associated with F is What is your conclusion? The addition of the two independent variables score for all events. Earnings=2+3 Scoring Avg. Would you prefer to use this equation to predict total earnings, or would you prefer to use the estimated regresion equation developed in part (b) Explain. II. Because the equation developed in part (b) provides a better fit, it is preferred over the equation developed in part (d). III. Because the equation developed in part (d) provides a better fit and is a simpler model, it is preferred over the equation developed in part (b). surface and the difference between the value of par for the hole and the number of strokes the the 2 . Click on the datafile logo to reference the data. DATA If not otherwise stated, round your answers to the nearest whole number. Enter negative values as negative numbers. Earnings=(++ Putting Avg. regulation, and the percentage of times a player's tee shot comes to rest in the fairway. Earnings = fairway, contribute significantly to the estimated regression equation developed in part (a). Use Table 4 in Appendix B. F= The p-value associated with F is What is your conclusion? The addition of the two independent variables score for all events. Earnings=2+3 Scoring Avg. Would you prefer to use this equation to predict total earnings, or would you prefer to use the estimated regresion equation developed in part (b) Explain. II. Because the equation developed in part (b) provides a better fit, it is preferred over the equation developed in part (d). III. Because the equation developed in part (d) provides a better fit and is a simpler model, it is preferred over the equation developed in part (b)
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