The Ladies Professional Golf Association (LPGA) maintains data on performance for members of the LPGA Tour. Scoring average is generally considered the most important statistic in term of a player's success. To investigate the relationship between scoring average and variables such as driving distance, driving accuracy, greens in regulation, sand saves, and average putts per round, year-end performance data for 140 players on the LPGA Tour for 2012 are contained in the DATA file named TourLPGA2012 (LPGA website). Each row of the data set corresponds to a LPGA Tour player. Descriptions for the variables in the data set follow.

Player	Scoring Average	DrDist	DrAccu	GIR	Sand Saves	PPR
Bader, Beth	74.160	247.280	72.9	61.1	35.7	30.76
Beck, Karlin	75.333	252.121	68.1	64.5	23.5	31.88
Blumenherst, Amanda	74.108	250.737	58.9	65.2	45.1	31.47
Boeljon, Christel	73.466	247.000	70.7	62.2	42.9	30.04
Bowie Young, Heather	73.174	251.565	73.6	67.2	34	30.96
Bunch, Ashli	75.895	247.368	62.6	56.4	38.1	31.26
Carter, Dori	73.282	254.282	70.1	65.2	46	30.74
Castrale, Nicole	72.415	247.585	71.8	68.4	46.3	30.37
Changkija, Sandra	73.743	263.286	67.7	64.9	32.5	31.00
Cho, Irene	73.622	249.676	60.2	61.6	36.6	29.92
Choi, Chella	71.634	246.317	74.7	70.8	37.9	30.13
Choi, Na Yeon	70.488	254.070	74.9	72.7	45.6	29.50
Clanton, Cydney	75.000	263.649	60.1	64.9	37.5	32.14
Concolino, Jacqui	73.176	248.971	67.7	65.4	53.5	30.68
Coutu, Taylor	72.233	239.571	73.3	63.8	49	29.07
Creamer, Paula	70.952	245.257	79	72.9	56.9	30.01
Davies, Laura	74.071	257.697	54.7	58.3	41.7	30.03
Dergal, Tanya	76.278	232.857	65.1	53.2	32.1	30.56
Diaz, Laura	73.436	239.256	57.1	60.8	39.6	30.21
Doolan, Wendy	74.519	262.556	69	65.8	44.8	31.52
Duncan, Meredith	74.379	224.517	79.6	55.9	34.1	29.66
Dunn, Moira	72.514	252.800	73.2	66.7	48.1	30.26
Ekey, Kathleen	74.629	246.118	69.3	60.5	21.7	31.17
Ewart, Jodi	72.725	258.304	71.2	68.2	40.3	30.60
Felibert, Veronica	74.351	257.919	69.3	66.8	44.8	32.18
Feng, Shanshan	70.841	256.344	76.8	73	39.1	30.16
Ferrero, Lisa	74.667	258.139	62.6	66.2	29.3	31.94
Francella, Meaghan	74.368	237.395	77.2	62.6	37	30.71
Futcher, Katie	72.868	246.364	69.1	64.9	36.5	30.25
Gal, Sandra	71.802	259.783	66.3	67.4	42	29.86
Granada, Julieta	71.965	240.711	76.8	65.8	50.8	29.46
Grzebien, Anna	74.556	254.037	71.8	65.8	36	32.19
Gulbis, Natalie	72.271	251.311	73.9	71.1	42.4	30.20
Gulyanamitta, Numa	73.723	244.047	71.1	60.9	47.6	30.12
Gustafson, Sophie	73.279	263.050	67.1	65.8	44.9	30.65
Han, Hee-Won	72.571	247.595	71.1	68.5	47.1	30.09
Harigae, Mina	72.333	249.408	72.7	67.7	46.4	30.26
Hart, Marcy	73.030	234.879	82.7	66.3	37.8	30.73
Hedwall, Caroline	72.268	252.333	69.3	69.6	32.1	30.49
Hernandez, Maria	73.706	243.758	75.8	68	48	31.74
Hjorth, Maria	73.559	266.961	61.2	66.5	39	30.87
Hull-Kirk, Katherine	72.437	253.382	70	66.7	39.4	29.79
Hung, Amy	74.679	242.233	65.4	58.5	52.6	30.44
Hur, Mi Jung	72.286	262.159	58.2	64.8	59.7	29.16
Hurst, Pat	74.400	248.862	59.7	59	35.6	30.00
Hurst, Vicky	72.952	262.622	65	67.4	34.8	30.42
Icher, Karine	71.104	246.676	73.4	72.4	46.7	30.11
Jang, Jeong	72.813	240.719	74.8	59.1	37.5	28.58
Ji, Eun-Hee	72.684	241.507	76.6	68.9	46.3	30.42
Joh, Tiffany	74.093	240.239	63	63.8	42.2	30.83
Johnson, Jennifer	72.064	247.865	76.8	68.4	38.3	30.15
Kane, Lorie	73.296	250.741	69.1	64.4	40.6	30.44
Kaneko, Ayaka	74.211	243.459	69.2	62	38.5	30.95
Kang, Danielle	72.393	246.934	73.6	66	40.5	29.96
Kang, Haeji	71.537	254.638	68.4	66.8	41.5	29.11
Kang, Jimin	73.754	243.979	72	65.6	48.1	31.07
Kemp, Sarah	74.679	240.679	62.4	57.7	40.5	30.32
Kerr, Cristie	71.272	258.563	74.6	70.6	37.8	29.93
Kim, Christina	74.019	237.341	78	63.4	36.4	30.68
Kim, I.K.	71.306	241.984	75.6	70.4	51.8	29.65
Kim, Mindy	73.035	249.854	72.8	68.8	37.5	30.80
Kim, Song-Hee	76.864	251.235	46.2	47.7	24.1	29.35
Kono, Stephanie	76.964	232.464	59.7	48.8	35.8	30.46
Korda, Jessica	72.938	262.785	65	69.2	34.9	30.96
Kung, Candie	72.134	242.417	76.2	69.9	50.8	30.07
LaCrosse, Cindy	72.900	246.338	75.6	66	39.3	30.23
Lang, Brittany	71.589	261.939	68.3	71.8	51.4	30.32
Lee, Ilhee	72.384	243.219	74	65.2	52.2	30.03
Lee, Jee Young	72.350	260.475	63.1	65.7	52.1	30.08
Lee, Jennie	74.019	243.887	68	61.8	42.6	30.08
Lee, Meena	72.239	233.900	77.9	66.3	44.6	29.51
Lee-Bentham, Rebecca	74.250	245.139	71.7	59.1	34.6	30.33
Lewis, Amelia	73.783	252.696	72.3	62.3	22.2	30.61
Lewis, Stacy	70.333	260.036	74.8	75.2	41.5	29.78
Lincicome, Brittany	71.525	276.083	64	71.3	53.5	30.28
Lindberg, Pernilla	72.600	252.018	66.8	64.9	40.4	29.47
Lindley, Leta	73.056	219.944	82.4	58.3	66.7	29.19
Louden, Stephanie	73.861	231.361	77.9	60.2	39.3	29.97
Mackenzie, Paige	73.525	254.078	72	65	46	30.68
Martin, Mo	72.943	230.765	83.9	64.7	34	30.35
Matthew, Catriona	71.088	255.603	69.2	70.2	44.9	29.66
McPherson, Kristy	73.551	243.115	73.2	66.3	19.7	31.21
Michaels, Sydnee	72.484	259.983	64.8	66.8	48	29.84
Min, Na On	74.636	243.091	61.9	62.8	46.3	31.33
Miyazato, Ai	70.564	242.881	79.3	68.3	50	28.68
Miyazato, Mika	70.939	240.679	84.8	71.9	26.5	29.69
Moodie, Janice	74.000	248.389	67.7	67.7	34.2	31.78
Morgan, Becky	73.266	239.613	72.4	65.1	43.5	30.38
Mozo, Belen	72.643	251.894	71.4	65.3	42.3	30.23
Munoz, Azahara	70.898	255.663	70.5	74.1	47.2	29.76
Nordqvist, Anna	71.189	248.448	72.9	71.8	43.5	29.95
Oh, Angela	74.375	241.450	71.9	58.9	33.3	30.05
Oh, Ji Young	73.250	239.295	77	64.8	41.3	31.09
O'Toole, Ryann	74.302	254.814	64.3	63.7	27.6	30.93
Pak, Jin Young	73.395	249.256	62.2	59.2	38.3	29.40
Pak, Se Ri	71.184	259.500	62.5	70	53.3	29.44
Park, Hee Young	71.706	256.189	69.4	70	45.1	30.13
Park, Inbee	70.212	254.840	73.4	68.9	45.9	28.34
Park, Jane	73.349	242.366	74	66	34.4	31.00
Pettersen, Suzann	70.744	265.385	71	72.8	52.9	30.30
Phatlum, Pornanong	72.429	247.197	74.2	66.3	44.3	30.24
Piller, Gerina	72.560	268.932	64.1	66	37.3	30.36
Prammanasudh, Stacy	73.680	244.840	65.9	61.8	48.6	30.16
Pressel, Morgan	73.647	242.119	69.7	60.1	58	28.43
Rah, Jane	74.171	238.900	80.5	61	52.5	30.51
Rankin, Reilley	73.067	243.111	75.7	65.4	36.4	30.51
Recari, Beatriz	71.687	244.191	80.1	72.5	38.6	30.51
Richdale, Samantha	73.583	246.917	74.4	64.6	18.2	30.83
Rosales, Jennifer	72.171	248.756	74.2	69.4	30.8	30.49
Ryu, So Yeon	70.302	258.200	73.3	71.7	39.7	29.25
Salas, Lizette	71.719	249.953	74.9	69.7	35.7	29.77
Schreefel, Dewi Claire	72.972	251.646	67	64.9	46.3	29.71
Seo, Hee Kyung	71.571	251.135	72.8	66.2	54.8	29.25
Sergas, Giulia	72.632	257.567	64.4	66.6	35.7	30.24
Serramia, Elisa	75.429	247.286	60.8	57.9	37.8	30.79
Sharp, Alena	72.900	262.900	67.5	65	35.4	30.45
Shepley, Jessica	73.885	249.538	69.2	63.5	32	30.65
Sherlock, Stephanie	75.217	236.545	73.5	52.4	40.5	29.48
Shin, Jenny	72.060	243.096	75.4	68.4	50.9	30.03
Shin, Jiyai	70.308	242.145	83.5	73.7	59.4	29.51
Sjodin, Karin	72.093	264.573	71.3	76.1	26.3	31.41
Smith, Sarah Jane	72.772	253.491	66.8	66.3	28.8	30.47
Song, Christine	74.605	231.919	75.6	60.1	37	30.79
Song, Jennifer	73.188	243.750	71.8	64.1	45.5	29.91
Stanford, Angela	71.506	255.141	72.9	70	31.6	29.78
Stupples, Karen	73.017	257.898	64.3	67.2	29.8	30.57
Tamulis, Kris	73.043	250.413	69.4	66.8	31.9	30.53
Tanco, Victoria	73.897	245.026	49.9	59.4	45.9	30.00
Thompson, Lexi	71.568	271.973	69.2	72.5	45.3	30.98
Tseng, Yani	71.122	266.986	58.5	68.8	41.7	29.53
Ueda, Momoko	71.850	246.392	72.8	66.7	43.6	30.00
Uribe, Mariajo	72.034	258.814	69.7	67.7	46.3	30.06
Walshe, Alison	72.592	258.282	63.8	67.3	44.3	30.15
Ward, Wendy	73.271	248.500	67.7	66.7	43.2	31.05
Webb, Karrie	71.192	259.000	73.8	72.3	38.9	30.18
Wie, Michelle	73.485	268.589	53	66	39.7	31.16
Wright, Lindsey	72.211	241.909	76.5	66	57.9	29.75
Yang, Amy	71.040	258.046	69	70.7	42.9	29.71
Yoo, Sun Young	71.659	256.667	74.2	75.2	53.6	30.98
Yun, Hannah	73.829	252.324	67.5	61	41.1	30.26

Zompute the mean and standard deviation. for each variable. (Round your answers to two decimal places.) greens in regulation, _x represent sand saves, and 35 represent putts per round. Round your coefcients to three decimal places.) Use the backward elimination process to develop an estimated regression equation to predict scoring average using 0.05 for astoileave. (Let X: represent driving distance, x2 represent driving aoculacy, x3 represent greens in regulation, X4 represent sand saves, and X5 represent putts per round. Round your coefficients on three decimal places.) f: Compute R32. (Round your answer to three decimal places.) |:| Comment on the meaning of Ral. (Consider a proportion large if it is at least 0.55.) Since R: is ~Selocli V 0.55, the estimated regression equation a good t. greens in regulation, _x represent sand saves, and 35 represent putts per round. Round your coefcients to three decimal places.) Use the backward elimination process to develop an estimated regression equation to predict scoring average using 0.05 for astoileave. (Let X: represent driving distance, x2 represent driving aoculacy, x3 represent greens in regulation, X4 represent sand saves, and X5 represent putts per round. Round your coefficients on three decimal places.) f: Compute R32. (Round your answer to three decimal places.) |:| Comment on the meaning of Ral. (Consider a proportion large if it is at least 0.55.) Since R: is ~Selocli V 0.55, the estimated regression equation a good t. greens in regulation, _x represent sand saves, and 35 represent putts per round. Round your coefcients to three decimal places.) Use the backward elimination process to develop an estimated regression equation to predict scoring average using 0.05 for astoileave. (Let X: represent driving distance, x2 represent driving aoculacy, x3 represent greens in regulation, X4 represent sand saves, and X5 represent putts per round. Round your coefficients on three decimal places.) f: Compute R32. (Round your answer to three decimal places.) |:| Comment on the meaning of Ral. (Consider a proportion large if it is at least 0.55.) Since R: is ~Selocli V 0.55, the estimated regression equation a good t