Question: The Excel file Golfing Statistics provides data for a portion of the 2010 professional season for the top 25 golfers. A.) Find the best multiple

The Excel file Golfing Statistics provides data for a portion of the 2010 professional season for the top 25 golfers. A.) Find the best multiple regression model for predicting earnings/event as a function of the remaining variables B.) Find the best multiple regression model for predicting average score as a function of the other variables except earnings and events. Please Show VIF (Variance Inflation Factor) calculations and answer both questions in Excel The Excel file Golfing Statistics provides data Golfing Statistics Earnings/Event Events $239,493.68 22 $177,249.18 28 $218,619.18 22 $186,380.08 24 $209,511.75 20 $181,987.29 21 $162,536.13 23 $174,534.95 21 $135,353.70 27 $212,540.82 17 $297,079.50 12 $168,904.45 20 $135,791.58 24 $133,695.52 23 $112,192.04 26 $215,121.67 12 $183,922.93 14 $150,251.76 17 $183,356.69 13 $130,274.35 17 $286,285.40 5 $72,708.05 19 $99,597.31 13 $85,557.56 9 $46,406.25 8 *GIR: Greens in Regulation Avg. Score GIR (%)* Driving Distance Driving Accuracy (%) 70.37 67.9 288.4 60.2 69.43 69.4 286.9 67.9 70.23 67.1 276.0 71.0 70.46 68.0 308.5 56.4 69.78 68.3 282.9 68.5 70.34 65.1 299.1 52.7 69.92 66.3 287.8 65.2 70.25 65.3 277.0 62.4 70.64 68.0 291.8 67.9 69.93 68.7 294.2 61.3 70.26 69.3 298.7 61.3 69.96 66.0 291.4 64.8 70.21 68.5 309.8 55.7 70.53 68.2 289.1 64.8 70.59 66.5 279.7 71.2 70.22 66.5 292.4 60.1 70.86 62.9 287.2 52.0 70.94 66.2 300.0 62.6 71.13 66.9 291.7 67.1 71.53 62.5 286.8 62.7 69.73 69.4 308.4 70.6 70.79 61.9 292.1 56.7 71.07 64.1 295.8 57.2 71.10 64.1 290.4 69.3 71.24 61.1 289.9 65.5 Putts/Round 31.82 31.30 31.81 31.81 31.43 31.72 31.68 31.52 32.35 31.55 32.31 31.79 31.73 31.86 31.30 32.29 31.99 32.31 32.06 32.47 32.09 31.50 31.52 31.95 32.31 Golfing Statistics Earnings/Event $239,493.68 22 Events Avg. Score 70.37 GIR (%)* 67.9 Driving Distance 288.4 Driving Accuracy (%) 60.2 Putts/Round 31.82 GIR (%)* 67.9 $177,249.18 28 69.43 69.4 286.9 67.9 31.30 69.4 $218,619.18 22 70.23 67.1 276.0 71.0 31.81 67.1 $186,380.08 24 70.46 68.0 308.5 56.4 31.81 68.0 $209,511.75 20 69.78 68.3 282.9 68.5 31.43 68.3 $181,987.29 $162,536.13 $174,534.95 $135,353.70 $212,540.82 $297,079.50 $168,904.45 $135,791.58 $133,695.52 $112,192.04 $215,121.67 $183,922.93 $150,251.76 $183,356.69 $130,274.35 $286,285.40 $72,708.05 $99,597.31 $85,557.56 $46,406.25 21 23 21 27 17 12 20 24 23 26 12 14 17 13 17 5 19 13 9 8 70.34 69.92 70.25 70.64 69.93 70.26 69.96 70.21 70.53 70.59 70.22 70.86 70.94 71.13 71.53 69.73 70.79 71.07 71.10 71.24 65.1 66.3 65.3 68.0 68.7 69.3 66.0 68.5 68.2 66.5 66.5 62.9 66.2 66.9 62.5 69.4 61.9 64.1 64.1 61.1 299.1 287.8 277.0 291.8 294.2 298.7 291.4 309.8 289.1 279.7 292.4 287.2 300.0 291.7 286.8 308.4 292.1 295.8 290.4 289.9 52.7 65.2 62.4 67.9 61.3 61.3 64.8 55.7 64.8 71.2 60.1 52.0 62.6 67.1 62.7 70.6 56.7 57.2 69.3 65.5 31.72 31.68 31.52 32.35 31.55 32.31 31.79 31.73 31.86 31.30 32.29 31.99 32.31 32.06 32.47 32.09 31.50 31.52 31.95 32.31 65.1 66.3 65.3 68.0 68.7 69.3 66.0 68.5 68.2 66.5 66.5 62.9 66.2 66.9 62.5 69.4 61.9 64.1 64.1 61.1 *GIR: Greens in Regulation SUMMARY OUTPUT Regression Statistics Multiple R 0.9074243495 R Square 0.82341895 Adjusted R Square 0.7645586 Standard Error 29533.224333 Observations 25 From the multiple regression output the linear equation is: ANOVA Calculation of variance inflation factor df Regression Residual Total Intercept Events Average Score GIR(%) Driving distance Driving Accuracy Putts/Round Earnings = -4751.822(Events) - 44490.89(Average score) + 22563.98(GIR) - 3466.13(Driving distance) - 5463.83(Driving accuracy) + 57686.85(Putts/round) This equation gives earnings in terms of other variables with 82.34% accuracy. SS MS F Significance F 6 73210099370 1.2E+010 13.98937 6.496624E-006 18 15699804111.15 8.7E+008 24 88909903481.18 Coefficients 1411171.3952 -4751.822168 -44490.89731 22563.989222 -3466.134358 -5463.836689 57686.857552 Standard Error 1350234.637203 1288.785632619 19562.24688963 4727.341802309 999.316198827 1453.581840063 23583.59681407 t Stat 1.04513 -3.68705 -2.27432 4.773082 -3.46851 -3.75888 2.446059 P-value Lower 95% Upper 95% 0.309796 -1425566.309 4247909.0994 0.001687 -7459.460304 -2044.184031 0.035418 -85589.652895 -3392.141733 0.000152 12632.2126534 32495.76579 0.002742 -5565.619782 -1366.648934 0.001437 -8517.6988092 -2409.974569 0.024946 8139.5592966 107234.15581 VIF j S x j 2 n 1 SEb j 2 S2 S x j S tan dard deviation SEb j s tan dard error of slope coeffiecient S mean square of residuals Variable Standard deviation VIF Events 6.1746794789 1.669923 Average Score 0.5281925154 2.815322 GIR(%) 2.4189476362 3.448205 Driving distance 8.8360530404 2.056026 Driving Accuracy 5.6349014188 1.769122 Here since the p-value is less than 0.05 for all the independent variables.Hence this is the best multiple lineae regressionPutts/Round model. 0.3458436641 1.754227 SUMMARY OUTPUT Regression Statistics Multiple R 0.8060591298 R Square 0.6497313207 Adjusted R Square 0.5796775848 Standard Error 0.3424392351 Observations 25 From the multiple regression output the linear equation is: Average score=62.23 -0.15(GIR) +0.003(Driving distance)+.004(Driving accuracy) + .529(Putts/round) This equation gives average scorein terms of other variables except earnings and events with 64.97% accuracy. Calculation of variance inflation factor ANOVA df Regression Residual Total Intercept GIR(%) Driving distance Driving Accuracy Putts/Round 4 20 24 SS MS F Significance F 4.3504034049 1.087601 9.274756 0.0002084101 2.3452925951 0.117265 6.695696 Coefficients Standard Error t Stat 62.235581476 7.1277550306 8.731442 -0.1510276451 0.0357494384 -4.224616 0.0036633046 0.01061111 0.345233 0.0047269791 0.0159051075 0.297199 0.5296599042 0.2259779431 2.343857 P-value 2.9E-008 0.000416 0.733524 0.76938 0.029527 Lower 95% Upper 95% 47.3673450638 77.103817889 -0.2255996666 -0.0764556236 -0.0184710829 0.025797692 -0.0284504937 0.0379044519 0.0582781763 1.001041632 Here the p-value is less than 0.05 only for GIR and Putts/rounds.So let us again run the regression for these independent variables. SUMMARY OUTPUT Regression Statistics Multiple R 0.8046066677 R Square 0.6473918898 Adjusted R Square 0.615336607 Standard Error 0.3275915357 Observations 25 ANOVA df Regression Residual Total Intercept GIR(%) Putts/Round 2 22 24 SS MS F Significance F 4.3347392867 2.16737 20.19611 1.047648E-005 2.3609567133 0.107316 6.695696 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 62.025593023 6.7961714356 9.126549 6.2E-009 47.9311961835 76.119989863 0.5636779424 0.1959456426 2.876706 0.008761 0.1573115533 0.9700443315 -0.1435923658 0.0280148929 -5.125573 3.9E-005 -0.2016916974 -0.0854930341 Now the p-values are less than 0.05 VIF j S x j 2 n 1 SEb j 2 S2 S x j S tan dard deviation SEb j s tan dard error of slope coeffiecient S mean square of residuals Variable GIR(%) Driving distance Driving Accuracy Putts/Round Standard deviation VIF 2.4189476362 12.50792 8.8360530404 14.70388 5.6349014188 13.43506 0.3458436641 10.21611 Golfing Statistics Earnings/Event $239,493.68 22 Events Avg. Score 70.37 GIR (%)* 67.9 Driving Distance 288.4 Driving Accuracy (%) 60.2 Putts/Round 31.82 GIR (%)* 67.9 $177,249.18 28 69.43 69.4 286.9 67.9 31.30 69.4 $218,619.18 22 70.23 67.1 276.0 71.0 31.81 67.1 $186,380.08 24 70.46 68.0 308.5 56.4 31.81 68.0 $209,511.75 20 69.78 68.3 282.9 68.5 31.43 68.3 $181,987.29 $162,536.13 $174,534.95 $135,353.70 $212,540.82 $297,079.50 $168,904.45 $135,791.58 $133,695.52 $112,192.04 $215,121.67 $183,922.93 $150,251.76 $183,356.69 $130,274.35 $286,285.40 $72,708.05 $99,597.31 $85,557.56 $46,406.25 21 23 21 27 17 12 20 24 23 26 12 14 17 13 17 5 19 13 9 8 70.34 69.92 70.25 70.64 69.93 70.26 69.96 70.21 70.53 70.59 70.22 70.86 70.94 71.13 71.53 69.73 70.79 71.07 71.10 71.24 65.1 66.3 65.3 68.0 68.7 69.3 66.0 68.5 68.2 66.5 66.5 62.9 66.2 66.9 62.5 69.4 61.9 64.1 64.1 61.1 299.1 287.8 277.0 291.8 294.2 298.7 291.4 309.8 289.1 279.7 292.4 287.2 300.0 291.7 286.8 308.4 292.1 295.8 290.4 289.9 52.7 65.2 62.4 67.9 61.3 61.3 64.8 55.7 64.8 71.2 60.1 52.0 62.6 67.1 62.7 70.6 56.7 57.2 69.3 65.5 31.72 31.68 31.52 32.35 31.55 32.31 31.79 31.73 31.86 31.30 32.29 31.99 32.31 32.06 32.47 32.09 31.50 31.52 31.95 32.31 65.1 66.3 65.3 68.0 68.7 69.3 66.0 68.5 68.2 66.5 66.5 62.9 66.2 66.9 62.5 69.4 61.9 64.1 64.1 61.1 *GIR: Greens in Regulation SUMMARY OUTPUT Regression Statistics Multiple R 0.9074243495 R Square 0.82341895 Adjusted R Square 0.7645586 Standard Error 29533.224333 Observations 25 From the multiple regression output the linear equation is: ANOVA Calculation of variance inflation factor df Regression Residual Total Intercept Events Average Score GIR(%) Driving distance Driving Accuracy Putts/Round Earnings = -4751.822(Events) - 44490.89(Average score) + 22563.98(GIR) - 3466.13(Driving distance) - 5463.83(Driving accuracy) + 57686.85(Putts/round) This equation gives earnings in terms of other variables with 82.34% accuracy. SS MS F Significance F 6 73210099370 1.2E+010 13.98937 6.496624E-006 18 15699804111.15 8.7E+008 24 88909903481.18 Coefficients 1411171.3952 -4751.822168 -44490.89731 22563.989222 -3466.134358 -5463.836689 57686.857552 Standard Error 1350234.637203 1288.785632619 19562.24688963 4727.341802309 999.316198827 1453.581840063 23583.59681407 t Stat 1.04513 -3.68705 -2.27432 4.773082 -3.46851 -3.75888 2.446059 P-value Lower 95% Upper 95% 0.309796 -1425566.309 4247909.0994 0.001687 -7459.460304 -2044.184031 0.035418 -85589.652895 -3392.141733 0.000152 12632.2126534 32495.76579 0.002742 -5565.619782 -1366.648934 0.001437 -8517.6988092 -2409.974569 0.024946 8139.5592966 107234.15581 VIF j S x j 2 n 1 SEb j 2 S2 S x j S tan dard deviation SEb j s tan dard error of slope coeffiecient S mean square of residuals Variable Standard deviation VIF Events 6.1746794789 1.669923 Average Score 0.5281925154 2.815322 GIR(%) 2.4189476362 3.448205 Driving distance 8.8360530404 2.056026 Driving Accuracy 5.6349014188 1.769122 Here since the p-value is less than 0.05 for all the independent variables.Hence this is the best multiple lineae regressionPutts/Round model. 0.3458436641 1.754227 SUMMARY OUTPUT Regression Statistics Multiple R 0.8060591298 R Square 0.6497313207 Adjusted R Square 0.5796775848 Standard Error 0.3424392351 Observations 25 From the multiple regression output the linear equation is: Average score=62.23 -0.15(GIR) +0.003(Driving distance)+.004(Driving accuracy) + .529(Putts/round) This equation gives average scorein terms of other variables except earnings and events with 64.97% accuracy. Calculation of variance inflation factor ANOVA df Regression Residual Total Intercept GIR(%) Driving distance Driving Accuracy Putts/Round 4 20 24 SS MS F Significance F 4.3504034049 1.087601 9.274756 0.0002084101 2.3452925951 0.117265 6.695696 Coefficients Standard Error t Stat 62.235581476 7.1277550306 8.731442 -0.1510276451 0.0357494384 -4.224616 0.0036633046 0.01061111 0.345233 0.0047269791 0.0159051075 0.297199 0.5296599042 0.2259779431 2.343857 P-value 2.9E-008 0.000416 0.733524 0.76938 0.029527 Lower 95% Upper 95% 47.3673450638 77.103817889 -0.2255996666 -0.0764556236 -0.0184710829 0.025797692 -0.0284504937 0.0379044519 0.0582781763 1.001041632 Here the p-value is less than 0.05 only for GIR and Putts/rounds.So let us again run the regression for these independent variables. SUMMARY OUTPUT Regression Statistics Multiple R 0.8046066677 R Square 0.6473918898 Adjusted R Square 0.615336607 Standard Error 0.3275915357 Observations 25 ANOVA df Regression Residual Total Intercept GIR(%) Putts/Round 2 22 24 SS MS F Significance F 4.3347392867 2.16737 20.19611 1.047648E-005 2.3609567133 0.107316 6.695696 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 62.025593023 6.7961714356 9.126549 6.2E-009 47.9311961835 76.119989863 0.5636779424 0.1959456426 2.876706 0.008761 0.1573115533 0.9700443315 -0.1435923658 0.0280148929 -5.125573 3.9E-005 -0.2016916974 -0.0854930341 Now the p-values are less than 0.05 VIF j S x j 2 n 1 SEb j 2 S2 S x j S tan dard deviation SEb j s tan dard error of slope coeffiecient S mean square of residuals Variable GIR(%) Driving distance Driving Accuracy Putts/Round Standard deviation VIF 2.4189476362 12.50792 8.8360530404 14.70388 5.6349014188 13.43506 0.3458436641 10.21611 Golfing Statistics Earnings/Event $239,493.68 22 Events Avg. Score 70.37 GIR (%)* 67.9 Driving Distance 288.4 Driving Accuracy (%) 60.2 Putts/Round 31.82 GIR (%)* 67.9 $177,249.18 28 69.43 69.4 286.9 67.9 31.30 69.4 $218,619.18 22 70.23 67.1 276.0 71.0 31.81 67.1 $186,380.08 24 70.46 68.0 308.5 56.4 31.81 68.0 $209,511.75 20 69.78 68.3 282.9 68.5 31.43 68.3 $181,987.29 $162,536.13 $174,534.95 $135,353.70 $212,540.82 $297,079.50 $168,904.45 $135,791.58 $133,695.52 $112,192.04 $215,121.67 $183,922.93 $150,251.76 $183,356.69 $130,274.35 $286,285.40 $72,708.05 $99,597.31 $85,557.56 $46,406.25 21 23 21 27 17 12 20 24 23 26 12 14 17 13 17 5 19 13 9 8 70.34 69.92 70.25 70.64 69.93 70.26 69.96 70.21 70.53 70.59 70.22 70.86 70.94 71.13 71.53 69.73 70.79 71.07 71.10 71.24 65.1 66.3 65.3 68.0 68.7 69.3 66.0 68.5 68.2 66.5 66.5 62.9 66.2 66.9 62.5 69.4 61.9 64.1 64.1 61.1 299.1 287.8 277.0 291.8 294.2 298.7 291.4 309.8 289.1 279.7 292.4 287.2 300.0 291.7 286.8 308.4 292.1 295.8 290.4 289.9 52.7 65.2 62.4 67.9 61.3 61.3 64.8 55.7 64.8 71.2 60.1 52.0 62.6 67.1 62.7 70.6 56.7 57.2 69.3 65.5 31.72 31.68 31.52 32.35 31.55 32.31 31.79 31.73 31.86 31.30 32.29 31.99 32.31 32.06 32.47 32.09 31.50 31.52 31.95 32.31 65.1 66.3 65.3 68.0 68.7 69.3 66.0 68.5 68.2 66.5 66.5 62.9 66.2 66.9 62.5 69.4 61.9 64.1 64.1 61.1 *GIR: Greens in Regulation SUMMARY OUTPUT Regression Statistics Multiple R 0.9074243495 R Square 0.82341895 Adjusted R Square 0.7645586 Standard Error 29533.224333 Observations 25 From the multiple regression output the linear equation is: ANOVA Calculation of variance inflation factor df Regression Residual Total Intercept Events Average Score GIR(%) Driving distance Driving Accuracy Putts/Round Earnings = -4751.822(Events) - 44490.89(Average score) + 22563.98(GIR) - 3466.13(Driving distance) - 5463.83(Driving accuracy) + 57686.85(Putts/round) This equation gives earnings in terms of other variables with 82.34% accuracy. SS MS F Significance F 6 73210099370 1.2E+010 13.98937 6.496624E-006 18 15699804111.15 8.7E+008 24 88909903481.18 Coefficients 1411171.3952 -4751.822168 -44490.89731 22563.989222 -3466.134358 -5463.836689 57686.857552 Standard Error 1350234.637203 1288.785632619 19562.24688963 4727.341802309 999.316198827 1453.581840063 23583.59681407 t Stat 1.04513 -3.68705 -2.27432 4.773082 -3.46851 -3.75888 2.446059 P-value Lower 95% Upper 95% 0.309796 -1425566.309 4247909.0994 0.001687 -7459.460304 -2044.184031 0.035418 -85589.652895 -3392.141733 0.000152 12632.2126534 32495.76579 0.002742 -5565.619782 -1366.648934 0.001437 -8517.6988092 -2409.974569 0.024946 8139.5592966 107234.15581 VIF j S x j 2 n 1 SEb j 2 S2 S x j S tan dard deviation SEb j s tan dard error of slope coeffiecient S mean square of residuals Variable Standard deviation VIF Events 6.1746794789 1.669923 Average Score 0.5281925154 2.815322 GIR(%) 2.4189476362 3.448205 Driving distance 8.8360530404 2.056026 Driving Accuracy 5.6349014188 1.769122 Here since the p-value is less than 0.05 for all the independent variables.Hence this is the best multiple lineae regressionPutts/Round model. 0.3458436641 1.754227 SUMMARY OUTPUT Regression Statistics Multiple R 0.8060591298 R Square 0.6497313207 Adjusted R Square 0.5796775848 Standard Error 0.3424392351 Observations 25 From the multiple regression output the linear equation is: Average score=62.23 -0.15(GIR) +0.003(Driving distance)+.004(Driving accuracy) + .529(Putts/round) This equation gives average scorein terms of other variables except earnings and events with 64.97% accuracy. Calculation of variance inflation factor ANOVA df Regression Residual Total Intercept GIR(%) Driving distance Driving Accuracy Putts/Round 4 20 24 SS MS F Significance F 4.3504034049 1.087601 9.274756 0.0002084101 2.3452925951 0.117265 6.695696 Coefficients Standard Error t Stat 62.235581476 7.1277550306 8.731442 -0.1510276451 0.0357494384 -4.224616 0.0036633046 0.01061111 0.345233 0.0047269791 0.0159051075 0.297199 0.5296599042 0.2259779431 2.343857 P-value 2.9E-008 0.000416 0.733524 0.76938 0.029527 Lower 95% Upper 95% 47.3673450638 77.103817889 -0.2255996666 -0.0764556236 -0.0184710829 0.025797692 -0.0284504937 0.0379044519 0.0582781763 1.001041632 Here the p-value is less than 0.05 only for GIR and Putts/rounds.So let us again run the regression for these independent variables. SUMMARY OUTPUT Regression Statistics Multiple R 0.8046066677 R Square 0.6473918898 Adjusted R Square 0.615336607 Standard Error 0.3275915357 Observations 25 ANOVA df Regression Residual Total Intercept GIR(%) Putts/Round 2 22 24 SS MS F Significance F 4.3347392867 2.16737 20.19611 1.047648E-005 2.3609567133 0.107316 6.695696 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 62.025593023 6.7961714356 9.126549 6.2E-009 47.9311961835 76.119989863 0.5636779424 0.1959456426 2.876706 0.008761 0.1573115533 0.9700443315 -0.1435923658 0.0280148929 -5.125573 3.9E-005 -0.2016916974 -0.0854930341 Now the p-values are less than 0.05 VIF j S x j 2 n 1 SEb j 2 S2 S x j S tan dard deviation SEb j s tan dard error of slope coeffiecient S mean square of residuals Variable GIR(%) Driving distance Driving Accuracy Putts/Round Standard deviation VIF 2.4189476362 12.50792 8.8360530404 14.70388 5.6349014188 13.43506 0.3458436641 10.21611 Golfing Statistics Earnings/Event $239,493.68 22 Events Avg. Score 70.37 GIR (%)* 67.9 Driving Distance 288.4 Driving Accuracy (%) 60.2 Putts/Round 31.82 GIR (%)* 67.9 $177,249.18 28 69.43 69.4 286.9 67.9 31.30 69.4 $218,619.18 22 70.23 67.1 276.0 71.0 31.81 67.1 $186,380.08 24 70.46 68.0 308.5 56.4 31.81 68.0 $209,511.75 20 69.78 68.3 282.9 68.5 31.43 68.3 $181,987.29 $162,536.13 $174,534.95 $135,353.70 $212,540.82 $297,079.50 $168,904.45 $135,791.58 $133,695.52 $112,192.04 $215,121.67 $183,922.93 $150,251.76 $183,356.69 $130,274.35 $286,285.40 $72,708.05 $99,597.31 $85,557.56 $46,406.25 21 23 21 27 17 12 20 24 23 26 12 14 17 13 17 5 19 13 9 8 70.34 69.92 70.25 70.64 69.93 70.26 69.96 70.21 70.53 70.59 70.22 70.86 70.94 71.13 71.53 69.73 70.79 71.07 71.10 71.24 65.1 66.3 65.3 68.0 68.7 69.3 66.0 68.5 68.2 66.5 66.5 62.9 66.2 66.9 62.5 69.4 61.9 64.1 64.1 61.1 299.1 287.8 277.0 291.8 294.2 298.7 291.4 309.8 289.1 279.7 292.4 287.2 300.0 291.7 286.8 308.4 292.1 295.8 290.4 289.9 52.7 65.2 62.4 67.9 61.3 61.3 64.8 55.7 64.8 71.2 60.1 52.0 62.6 67.1 62.7 70.6 56.7 57.2 69.3 65.5 31.72 31.68 31.52 32.35 31.55 32.31 31.79 31.73 31.86 31.30 32.29 31.99 32.31 32.06 32.47 32.09 31.50 31.52 31.95 32.31 65.1 66.3 65.3 68.0 68.7 69.3 66.0 68.5 68.2 66.5 66.5 62.9 66.2 66.9 62.5 69.4 61.9 64.1 64.1 61.1 *GIR: Greens in Regulation SUMMARY OUTPUT Regression Statistics Multiple R 0.9074243495 R Square 0.82341895 Adjusted R Square 0.7645586 Standard Error 29533.224333 Observations 25 From the multiple regression output the linear equation is: ANOVA Calculation of variance inflation factor df Regression Residual Total Intercept Events Average Score GIR(%) Driving distance Driving Accuracy Putts/Round Earnings = -4751.822(Events) - 44490.89(Average score) + 22563.98(GIR) - 3466.13(Driving distance) - 5463.83(Driving accuracy) + 57686.85(Putts/round) This equation gives earnings in terms of other variables with 82.34% accuracy. SS MS F Significance F 6 73210099370 1.2E+010 13.98937 6.496624E-006 18 15699804111.15 8.7E+008 24 88909903481.18 Coefficients 1411171.3952 -4751.822168 -44490.89731 22563.989222 -3466.134358 -5463.836689 57686.857552 Standard Error 1350234.637203 1288.785632619 19562.24688963 4727.341802309 999.316198827 1453.581840063 23583.59681407 t Stat 1.04513 -3.68705 -2.27432 4.773082 -3.46851 -3.75888 2.446059 P-value Lower 95% Upper 95% 0.309796 -1425566.309 4247909.0994 0.001687 -7459.460304 -2044.184031 0.035418 -85589.652895 -3392.141733 0.000152 12632.2126534 32495.76579 0.002742 -5565.619782 -1366.648934 0.001437 -8517.6988092 -2409.974569 0.024946 8139.5592966 107234.15581 VIF j S x j 2 n 1 SEb j 2 S2 S x j S tan dard deviation SEb j s tan dard error of slope coeffiecient S mean square of residuals Variable Standard deviation VIF Events 6.1746794789 1.669923 Average Score 0.5281925154 2.815322 GIR(%) 2.4189476362 3.448205 Driving distance 8.8360530404 2.056026 Driving Accuracy 5.6349014188 1.769122 Here since the p-value is less than 0.05 for all the independent variables.Hence this is the best multiple lineae regressionPutts/Round model. 0.3458436641 1.754227 SUMMARY OUTPUT Regression Statistics Multiple R 0.8060591298 R Square 0.6497313207 Adjusted R Square 0.5796775848 Standard Error 0.3424392351 Observations 25 From the multiple regression output the linear equation is: Average score=62.23 -0.15(GIR) +0.003(Driving distance)+.004(Driving accuracy) + .529(Putts/round) This equation gives average scorein terms of other variables except earnings and events with 64.97% accuracy. Calculation of variance inflation factor ANOVA df Regression Residual Total Intercept GIR(%) Driving distance Driving Accuracy Putts/Round 4 20 24 SS MS F Significance F 4.3504034049 1.087601 9.274756 0.0002084101 2.3452925951 0.117265 6.695696 Coefficients Standard Error t Stat 62.235581476 7.1277550306 8.731442 -0.1510276451 0.0357494384 -4.224616 0.0036633046 0.01061111 0.345233 0.0047269791 0.0159051075 0.297199 0.5296599042 0.2259779431 2.343857 P-value 2.9E-008 0.000416 0.733524 0.76938 0.029527 Lower 95% Upper 95% 47.3673450638 77.103817889 -0.2255996666 -0.0764556236 -0.0184710829 0.025797692 -0.0284504937 0.0379044519 0.0582781763 1.001041632 Here the p-value is less than 0.05 only for GIR and Putts/rounds.So let us again run the regression for these independent variables. SUMMARY OUTPUT Regression Statistics Multiple R 0.8046066677 R Square 0.6473918898 Adjusted R Square 0.615336607 Standard Error 0.3275915357 Observations 25 ANOVA df Regression Residual Total Intercept GIR(%) Putts/Round 2 22 24 SS MS F Significance F 4.3347392867 2.16737 20.19611 1.047648E-005 2.3609567133 0.107316 6.695696 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 62.025593023 6.7961714356 9.126549 6.2E-009 47.9311961835 76.119989863 0.5636779424 0.1959456426 2.876706 0.008761 0.1573115533 0.9700443315 -0.1435923658 0.0280148929 -5.125573 3.9E-005 -0.2016916974 -0.0854930341 Now the p-values are less than 0.05 VIF j S x j 2 n 1 SEb j 2 S2 S x j S tan dard deviation SEb j s tan dard error of slope coeffiecient S mean square of residuals Variable GIR(%) Driving distance Driving Accuracy Putts/Round Standard deviation VIF 2.4189476362 12.50792 8.8360530404 14.70388 5.6349014188 13.43506 0.3458436641 10.21611

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