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Problem Part Detail The Professional Golfers Association (PGA) maintains data on performance and earnings for members of the PGA Tour. Scoring average is generally considered the most important statistic in terms of success on the PGA Tour. To investigate the relationship between scoring average and variables such as driving distance (DrDist), driving accuracy (DrAccu), and greens in regulation (GIR) year-end performance data for the 125 players who had the highest total earnings in PGA Tour events for 2008 is provided in cells E1 to K126. Scoring average data is in cells H1 to H126. Driving distance (DrDist) data is in cells 11 to 1126. Driving Accuracy (DrAccu) data is in cells J1 to J126. Greens in Regulation (GIR) data is in cells K1 to K126. All data sets have labels in first row. Place output in a separate worksheet. Use regression analysis to investigate the relationship between scoring average and DrDist. At .05 level of a significance, what is your conclusion about the relationship between DrDist and Average score? Use regression analysis to investigate the relationship between scoring average and DrAccu. At .05 level of significance, what is your conclusion about the relationship between DrAccu and Average score? Use regression analysis to investigate the relationship between scoring average and GIR. At .05 level of significance, what is your conclusion about the relationship between GIR and Average score? Which of the variables (DrDist, DrAccu, and GIR) appear to be the most significant? Treating DrDist as the independent variable and DrAccu as the dependent variable investigate the relationship between driving distance and accuracy. At .05 level of significance, what is your conclusion?

Problem Part Detail The Professional Golfers Association (PGA) maintains data on performance and earnings for members of the PGA Tour. Scoring average is generally considered the most important statistic in terms of success on the PGA Tour. To investigate the relationship between scoring average and variables such as driving distance (DrDist), driving accuracy (DrAccu), and greens in regulation (GIR) year-end performance data for the 125 players who had the highest total earnings in PGA Tour events for 2008 is provided in cells E1 to K126. Scoring average data is in cells H1 to H126. Driving distance (DrDist) data is in cells 11 to 1126. Driving Accuracy (DrAccu) data is in cells J1 to J126. Greens in Regulation (GIR) data is in cells K1 to K126. All data sets have labels in first row. Place output in a separate worksheet. Use regression analysis to investigate the relationship between scoring average and DrDist. At .05 level of a significance, what is your conclusion about the relationship between DrDist and Average score? Use regression analysis to investigate the relationship between scoring average and DrAccu. At .05 level of significance, what is your conclusion about the relationship between DrAccu and Average score? Use regression analysis to investigate the relationship between scoring average and GIR. At .05 level of significance, what is your conclusion about the relationship between GIR and Average score? Which of the variables (DrDist, DrAccu, and GIR) appear to be the most significant? Treating DrDist as the independent variable and DrAccu as the dependent variable investigate the relationship between driving distance and accuracy. At .05 level of significance, what is your conclusion?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Rank Player Money ($) Scoring Average DrDist DrAccu GIR
1 Vijay Singh 6,601,094 70.27 297.8 59.45 68.45
2 Phil Mickelson 5,188,875 70.28 295.7 55.27 65.81
3 Sergio Garcia 4,858,224 70.6 294.6 59.39 67.06
4 Kenny Perry 4,663,794 70.21 296 61.97 67.47
5 Anthony Kim 4,656,265 70.22 300.9 58.34 65.78
6 Camilo Villegas 4,422,641 70.6 293.3 58.15 64.6
7 Padraig Harrington 4,313,551 70.7 296.3 59.37 60.67
8 Stewart Cink 3,979,301 70.65 296.9 55.27 66.94
9 Justin Leonard 3,943,542 70.41 281.4 67.72 66.61
10 Robert Allenby 3,606,700 70.64 291.7 65.64 70.4
11 Jim Furyk 3,455,714 70.56 280.4 69.37 66.78
12 Ryuji Imada 3,029,363 71.13 278.6 59.64 61.39
13 Mike Weir 3,020,135 70.68 284.8 62.46 64.62
14 Geoff Ogilvy 2,880,099 71.38 292.1 58.18 61.89
15 K.J. Choi 2,683,442 71.01 286.1 61.38 65.48
16 Ben Curtis 2,615,798 70.96 284.7 67.2 63.45
17 Kevin Sutherland 2,581,311 70.22 291 61.93 68.2
18 Trevor Immelman 2,566,199 71.85 291.3 62.45 63.07
19 Ernie Els 2,537,290 71.44 291.6 56.88 61.33
20 Carl Pettersson 2,512,538 70.84 286 59.87 63.54
21 Stuart Appleby 2,484,630 70.86 290.9 58.19 61.9
22 Steve Stricker 2,438,304 70.83 283.6 56.25 63.81
23 Chad Campbell 2,404,770 70.37 289.9 65.68 68.44
24 Boo Weekley 2,398,751 71.12 291.7 64.75 67.87
25 D.J. Trahan 2,304,368 70.89 291.3 65.31 66.25
26 Stephen Ames 2,285,707 70.67 283.8 62.72 65.04
27 Ken Duke 2,238,885 70.61 284.9 62.27 64.8
28 Dudley Hart 2,218,817 70.84 275.5 61.18 66.11
29 Hunter Mahan 2,208,855 70.78 289.9 66.02 69.61
30 Brian Gay 2,205,513 70.11 270.5 71.74 63.71
31 J.B. Holmes 2,166,131 71.39 310.3 52.4 62.94
32 Woody Austin 2,146,431 71.1 285.3 66.19 68.15
33 Steve Marino 2,094,267 70.29 293.5 63.84 68.36
34 Sean O'Hair 2,089,857 71.25 291.1 60.44 64.47
35 Andres Romero 2,064,612 71.85 299.1 52.83 58.79
36 Briny Baird 2,039,808 70.44 285.2 66.03 70
37 Jeff Quinney 1,999,371 71.39 272.5 61.98 61.81
38 Adam Scott 1,979,160 71.45 302.1 54.66 63.72
39 Mathew Goggin 1,969,962 70.73 295.9 64.91 67.58
40 Nicholas Thompson 1,869,329 71.38 295.4 66.85 63.14
41 Dustin Johnson 1,789,895 71.5 309.7 53.05 63.71
42 Pat Perez 1,756,038 70.7 294.2 63.27 66.91
43 Billy Mayfair 1,750,683 70.76 284 72.16 68.12
44 Tim Clark 1,722,030 70.87 281.1 64.98 63.61
45 Bart Bryant 1,719,153 71.22 279.5 73.87 64.88
46 Rod Pampling 1,702,952 71.39 288 65.65 63.61
47 Davis Love III 1,695,237 71.21 301.3 58.22 64.74
48 Aaron Baddeley 1,665,587 70.86 290.3 59.45 62.02
49 Jerry Kelly 1,652,400 71.49 277 66.21 63.36
50 Paul Goydos 1,640,737 71.6 273.2 70.85 62.96
51 Daniel Chopra 1,630,690 71.51 294.2 52.76 59.77
52 Zach Johnson 1,615,123 71.06 275.1 73.73 67.59
53 Fredrik Jacobson 1,597,423 71.26 282.7 59.95 61.82
54 Mark Wilson 1,578,337 70.44 284.6 70.73 66.93
55 Rory Sabbatini 1,559,277 71.05 292 61.99 66.08
56 Bubba Watson 1,533,523 71.07 315.1 55.16 67.6
57 Brandt Snedeker 1,531,442 71.27 280.8 60.51 63.36
58 Steve Lowery 1,524,275 71.96 287 59.92 59.38
59 Charlie Wi 1,515,395 70.41 287.4 67.33 66.44
60 Tommy Armour III 1,501,256 70.99 287.7 63.35 66.51
61 Heath Slocum 1,491,916 71.17 279.9 73.95 66.77
62 Ben Crane 1,488,505 70.38 287.8 67.64 65.76
63 Ian Poulter 1,488,214 71.84 283.6 59.77 59.75
64 Peter Lonard 1,462,894 70.93 281.6 65.91 64.9
65 Ryan Palmer 1,453,183 70.48 294.2 62.94 66.75
66 Charles Howell III 1,449,232 71.15 293.6 56.78 66.78
67 Matt Kuchar 1,447,638 71.03 275 65.53 63.89
68 Chez Reavie 1,444,102 71.03 281.8 72.56 66.61
69 Retief Goosen 1,431,965 71.71 287.1 56.79 59.39
70 Johnson Wagner 1,431,001 71.65 283.2 61.02 61.6
71 Rocco Mediate 1,420,875 71.61 278.6 64.66 62.58
72 Nick O'Hern 1,370,771 70.89 274.9 72.27 64.38
73 George McNeill 1,361,532 70.94 295 59.42 68.44
74 Scott Verplank 1,359,620 70.84 278.6 73.57 65.09
75 Kevin Streelman 1,352,705 70.63 292.8 62.21 67.44
76 Dean Wilson 1,350,002 70.98 276.2 61.7 65.61
77 Tom Pernice, Jr. 1,336,277 70.54 280.6 63.99 64.1
78 Marc Turnesa 1,329,920 71.16 285.1 65.31 63.45
79 Cameron Beckman 1,312,837 71.09 281.9 67.64 65.82
80 John Merrick 1,312,005 70.97 299 65.23 67.72
81 Parker  1,311,839 71.07 286.2 58.84 62.5
82 Steve Elkington 1,291,114 70.67 282 70.43 67
83 John Senden 1,269,083 70.9 288.8 68.2 69.08
84 Steve 1,265,059 71.17 281.9 60.98 64.62
85 Ryan 1,214,900 71.5 292.7 65.74 61.73
86 Troy 1,212,018 71.4 295.2 61.36 67.38
87 Greg 1,204,559 71.56 273.6 68.71 59.49
88 John 1,201,433 71.02 279 69.39 60.82
89 Tim 1,167,607 71.02 279.8 66.72 65.39
90 Micha 1,166,977 71.01 291.1 64.44 63.29
91 Tim 1,164,999 70.66 293 61.1 62.25
  Paul 1,156,414 71.75 299.2 62.43 65.71
  Brian 1,151,558 70.73 277.7 72.47 65.23
  Cliff 1,068,207 71.54 280.9 62.26 65
  Vaug 1,053,423 70.84 288 62.4 65.48
  Kev 1,041,059 70.81 280.9 67.8 63.57
  Jonath 1,039,584 71.36 285.3 67.31 63.01
  Joe 1,035,831 70.92 287.7 65.2 64.12
  John 1,016,032 71.54 288.9 67.94 63.48
  Bill 1,000,939 70.66 296.7 59.95 68.07
  Lucas 998,491 70.95 298.4 61.54 65.38
  Michae 981,263 71.07 286.8 69.45 66.67
  Tim 958,577 71.23 284 66.53 63.17
  Scot 952,070 71.22 283.1 69.2 64.81
105 Fred 949,281 71.22 299.6 57.49 65.46
106 Charley 945,702 71.16 300.8 63.35 66.24
107 J.J 931,162 71.07 291.7 65.6 69.19
108 Corey 924,282 70.67 261.4 69.22 57.95
109 Green 912,867 71.33 283.7 59.5 59.82
110 Will 911,194 71.63 286 62.6 64.7
111 Bo 903,967 70.96 292 62.06 67.3
112 Eric 899,215 71.31 287.7 56.39 61.16
113 Alex 893,998 71.69 282.7 65.42 63.12
114 Jef 890,489 71.29 297.6 54.31 64.14
115 Richa 884,367 71.13 282.2 64.18 65.12
116 Brett 878,216 71.28 287.5 61.76 64.53
117 Nick 878,173 71.02 302.9 61.21 68.23
118 Angel 868,182 71.94 300.2 51.11 62.64
119 Brad 862,413 71.03 289.9 58.1 65.86
120 Marti 852,752 70.81 296.6 62.25 67.03
121 Shan 841,248 70.56 274.3 70.54 64.06
122 Bob 829,395 70.69 282.6 66.48 68.69
123 Patrick 805,897 70.93 284.1 66.48 64.8
124 Joe 802,568 71.24 286.5 73.05 71.1
125 Charl 800,694 72.08 301.1 65.43 66.88

 

Problem Part Detail The Professional Golfers Association (PGA) maintains data on performance and earnings for members of the PGA Tour. Scoring average is generally considered the most important statistic in terms of success on the PGA Tour. To investigate the relationship between scoring average and variables such as driving distance (DrDist), driving accuracy (DrAccu), and greens in regulation (GIR) year-end performance data for the 125 players who had the highest total earnings in PGA Tour events for 2008 is provided in cells E1 to K126. Scoring average data is in cells H1 to H126. Driving distance (DrDist) data is in cells 11 to 1126. Driving Accuracy (DrAccu) data is in cells J1 to J126. Greens in Regulation (GIR) data is in cells K1 to K126. All data sets have labels in first row. Place output in a separate worksheet. Use regression analysis to investigate the relationship between scoring average and DrDist. At .05 level of a significance, what is your conclusion about the relationship between DrDist and Average score? Use regression analysis to investigate the relationship between scoring average and DrAccu. At .05 level of significance, what is your conclusion about the relationship between DrAccu and Average score? Use regression analysis to investigate the relationship between scoring average and GIR. At .05 level of significance, what is your conclusion about the relationship between GIR and Average score? Which of the variables (DrDist, DrAccu, and GIR) appear to be the most significant? Treating DrDist as the independent variable and DrAccu as the dependent variable investigate the relationship between driving distance and accuracy. At .05 level of significance, what is your conclusion?
Transcribed Image Text:Problem Part Detail The Professional Golfers Association (PGA) maintains data on performance and earnings for members of the PGA Tour. Scoring average is generally considered the most important statistic in terms of success on the PGA Tour. To investigate the relationship between scoring average and variables such as driving distance (DrDist), driving accuracy (DrAccu), and greens in regulation (GIR) year-end performance data for the 125 players who had the highest total earnings in PGA Tour events for 2008 is provided in cells E1 to K126. Scoring average data is in cells H1 to H126. Driving distance (DrDist) data is in cells 11 to 1126. Driving Accuracy (DrAccu) data is in cells J1 to J126. Greens in Regulation (GIR) data is in cells K1 to K126. All data sets have labels in first row. Place output in a separate worksheet. Use regression analysis to investigate the relationship between scoring average and DrDist. At .05 level of a significance, what is your conclusion about the relationship between DrDist and Average score? Use regression analysis to investigate the relationship between scoring average and DrAccu. At .05 level of significance, what is your conclusion about the relationship between DrAccu and Average score? Use regression analysis to investigate the relationship between scoring average and GIR. At .05 level of significance, what is your conclusion about the relationship between GIR and Average score? Which of the variables (DrDist, DrAccu, and GIR) appear to be the most significant? Treating DrDist as the independent variable and DrAccu as the dependent variable investigate the relationship between driving distance and accuracy. At .05 level of significance, what is your conclusion?
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