Comment on the correlation coefficients. The independent variable most highly correlated with the scoring average is ---Select--- ---Select-- The independent variable least correlated with the scoring average is Using the single independent variable that is most highly correlated with the scoring average, develop an estimated regression equation. (Let x, represent driving distance, x₂ represent driving accuracy, x, represent greens in regulation, x4 represent sand saves, and x, represent putts per round. Round your coefficients to three decimal places.) 9- Regression Analysis Use the backward elimination process to develop an estimated regression equation to predict scoring average using 0.05 for a-to-leave. (Let x, represent driving distance, x₂ represent driving accuracy, x, represent greens in regulation, x, represent sand saves, and x represent putts per round. Round your coefficients to three decimal places.) y = 61.55707609 Compute R₂2. (Round your answer to three decimal places.) 0.962 Comment on the meaning of R.2. (Consider a proportion large if it is at least 0.55.) Since R₂2 is greater than 0.55, the estimated regression equation provides a good fit.
Comment on the correlation coefficients. The independent variable most highly correlated with the scoring average is ---Select--- ---Select-- The independent variable least correlated with the scoring average is Using the single independent variable that is most highly correlated with the scoring average, develop an estimated regression equation. (Let x, represent driving distance, x₂ represent driving accuracy, x, represent greens in regulation, x4 represent sand saves, and x, represent putts per round. Round your coefficients to three decimal places.) 9- Regression Analysis Use the backward elimination process to develop an estimated regression equation to predict scoring average using 0.05 for a-to-leave. (Let x, represent driving distance, x₂ represent driving accuracy, x, represent greens in regulation, x, represent sand saves, and x represent putts per round. Round your coefficients to three decimal places.) y = 61.55707609 Compute R₂2. (Round your answer to three decimal places.) 0.962 Comment on the meaning of R.2. (Consider a proportion large if it is at least 0.55.) Since R₂2 is greater than 0.55, the estimated regression equation provides a good fit.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Scoring Average | DrDist | DrAccu | GIR | Sand Saves | PPR |
74.160 | 247.280 | 72.9 | 61.1 | 35.7 | 30.76 |
75.333 | 252.121 | 68.1 | 64.5 | 23.5 | 31.88 |
74.108 | 250.737 | 58.9 | 65.2 | 45.1 | 31.47 |
73.466 | 247.000 | 70.7 | 62.2 | 42.9 | 30.04 |
73.174 | 251.565 | 73.6 | 67.2 | 34 | 30.96 |
75.895 | 247.368 | 62.6 | 56.4 | 38.1 | 31.26 |
73.282 | 254.282 | 70.1 | 65.2 | 46 | 30.74 |
72.415 | 247.585 | 71.8 | 68.4 | 46.3 | 30.37 |
73.743 | 263.286 | 67.7 | 64.9 | 32.5 | 31.00 |
73.622 | 249.676 | 60.2 | 61.6 | 36.6 | 29.92 |
71.634 | 246.317 | 74.7 | 70.8 | 37.9 | 30.13 |
70.488 | 254.070 | 74.9 | 72.7 | 45.6 | 29.50 |
75.000 | 263.649 | 60.1 | 64.9 | 37.5 | 32.14 |
73.176 | 248.971 | 67.7 | 65.4 | 53.5 | 30.68 |
72.233 | 239.571 | 73.3 | 63.8 | 49 | 29.07 |
70.952 | 245.257 | 79 | 72.9 | 56.9 | 30.01 |
74.071 | 257.697 | 54.7 | 58.3 | 41.7 | 30.03 |
76.278 | 232.857 | 65.1 | 53.2 | 32.1 | 30.56 |
73.436 | 239.256 | 57.1 | 60.8 | 39.6 | 30.21 |
74.519 | 262.556 | 69 | 65.8 | 44.8 | 31.52 |
74.379 | 224.517 | 79.6 | 55.9 | 34.1 | 29.66 |
72.514 | 252.800 | 73.2 | 66.7 | 48.1 | 30.26 |
74.629 | 246.118 | 69.3 | 60.5 | 21.7 | 31.17 |
72.725 | 258.304 | 71.2 | 68.2 | 40.3 | 30.60 |
74.351 | 257.919 | 69.3 | 66.8 | 44.8 | 32.18 |
70.841 | 256.344 | 76.8 | 73 | 39.1 | 30.16 |
74.667 | 258.139 | 62.6 | 66.2 | 29.3 | 31.94 |
74.368 | 237.395 | 77.2 | 62.6 | 37 | 30.71 |
72.868 | 246.364 | 69.1 | 64.9 | 36.5 | 30.25 |
71.802 | 259.783 | 66.3 | 67.4 | 42 | 29.86 |
71.965 | 240.711 | 76.8 | 65.8 | 50.8 | 29.46 |
74.556 | 254.037 | 71.8 | 65.8 | 36 | 32.19 |
72.271 | 251.311 | 73.9 | 71.1 | 42.4 | 30.20 |
73.723 | 244.047 | 71.1 | 60.9 | 47.6 | 30.12 |
73.279 | 263.050 | 67.1 | 65.8 | 44.9 | 30.65 |
72.571 | 247.595 | 71.1 | 68.5 | 47.1 | 30.09 |
72.333 | 249.408 | 72.7 | 67.7 | 46.4 | 30.26 |
73.030 | 234.879 | 82.7 | 66.3 | 37.8 | 30.73 |
72.268 | 252.333 | 69.3 | 69.6 | 32.1 | 30.49 |
73.706 | 243.758 | 75.8 | 68 | 48 | 31.74 |
73.559 | 266.961 | 61.2 | 66.5 | 39 | 30.87 |
72.437 | 253.382 | 70 | 66.7 | 39.4 | 29.79 |
74.679 | 242.233 | 65.4 | 58.5 | 52.6 | 30.44 |
72.286 | 262.159 | 58.2 | 64.8 | 59.7 | 29.16 |
74.400 | 248.862 | 59.7 | 59 | 35.6 | 30.00 |
72.952 | 262.622 | 65 | 67.4 | 34.8 | 30.42 |
71.104 | 246.676 | 73.4 | 72.4 | 46.7 | 30.11 |
72.813 | 240.719 | 74.8 | 59.1 | 37.5 | 28.58 |
72.684 | 241.507 | 76.6 | 68.9 | 46.3 | 30.42 |
74.093 | 240.239 | 63 | 63.8 | 42.2 | 30.83 |
72.064 | 247.865 | 76.8 | 68.4 | 38.3 | 30.15 |
73.296 | 250.741 | 69.1 | 64.4 | 40.6 | 30.44 |
74.211 | 243.459 | 69.2 | 62 | 38.5 | 30.95 |
72.393 | 246.934 | 73.6 | 66 | 40.5 | 29.96 |
71.537 | 254.638 | 68.4 | 66.8 | 41.5 | 29.11 |
73.754 | 243.979 | 72 | 65.6 | 48.1 | 31.07 |
74.679 | 240.679 | 62.4 | 57.7 | 40.5 | 30.32 |
71.272 | 258.563 | 74.6 | 70.6 | 37.8 | 29.93 |
74.019 | 237.341 | 78 | 63.4 | 36.4 | 30.68 |
71.306 | 241.984 | 75.6 | 70.4 | 51.8 | 29.65 |
73.035 | 249.854 | 72.8 | 68.8 | 37.5 | 30.80 |
76.864 | 251.235 | 46.2 | 47.7 | 24.1 | 29.35 |
76.964 | 232.464 | 59.7 | 48.8 | 35.8 | 30.46 |
72.938 | 262.785 | 65 | 69.2 | 34.9 | 30.96 |
72.134 | 242.417 | 76.2 | 69.9 | 50.8 | 30.07 |
72.900 | 246.338 | 75.6 | 66 | 39.3 | 30.23 |
71.589 | 261.939 | 68.3 | 71.8 | 51.4 | 30.32 |
72.384 | 243.219 | 74 | 65.2 | 52.2 | 30.03 |
72.350 | 260.475 | 63.1 | 65.7 | 52.1 | 30.08 |
74.019 | 243.887 | 68 | 61.8 | 42.6 | 30.08 |
72.239 | 233.900 | 77.9 | 66.3 | 44.6 | 29.51 |
74.250 | 245.139 | 71.7 | 59.1 | 34.6 | 30.33 |
73.783 | 252.696 | 72.3 | 62.3 | 22.2 | 30.61 |
70.333 | 260.036 | 74.8 | 75.2 | 41.5 | 29.78 |
71.525 | 276.083 | 64 | 71.3 | 53.5 | 30.28 |
72.600 | 252.018 | 66.8 | 64.9 | 40.4 | 29.47 |
73.056 | 219.944 | 82.4 | 58.3 | 66.7 | 29.19 |
73.861 | 231.361 | 77.9 | 60.2 | 39.3 | 29.97 |
73.525 | 254.078 | 72 | 65 | 46 | 30.68 |
72.943 | 230.765 | 83.9 | 64.7 | 34 | 30.35 |
71.088 | 255.603 | 69.2 | 70.2 | 44.9 | 29.66 |
73.551 | 243.115 | 73.2 | 66.3 | 19.7 | 31.21 |
72.484 | 259.983 | 64.8 | 66.8 | 48 | 29.84 |
74.636 | 243.091 | 61.9 | 62.8 | 46.3 | 31.33 |
70.564 | 242.881 | 79.3 | 68.3 | 50 | 28.68 |
70.939 | 240.679 | 84.8 | 71.9 | 26.5 | 29.69 |
74.000 | 248.389 | 67.7 | 67.7 | 34.2 | 31.78 |
73.266 | 239.613 | 72.4 | 65.1 | 43.5 | 30.38 |
72.643 | 251.894 | 71.4 | 65.3 | 42.3 | 30.23 |
70.898 | 255.663 | 70.5 | 74.1 | 47.2 | 29.76 |
71.189 | 248.448 | 72.9 | 71.8 | 43.5 | 29.95 |
74.375 | 241.450 | 71.9 | 58.9 | 33.3 | 30.05 |
73.250 | 239.295 | 77 | 64.8 | 41.3 | 31.09 |
74.302 | 254.814 | 64.3 | 63.7 | 27.6 | 30.93 |
73.395 | 249.256 | 62.2 | 59.2 | 38.3 | 29.40 |
71.184 | 259.500 | 62.5 | 70 | 53.3 | 29.44 |
71.706 | 256.189 | 69.4 | 70 | 45.1 | 30.13 |
70.212 | 254.840 | 73.4 | 68.9 | 45.9 | 28.34 |
73.349 | 242.366 | 74 | 66 | 34.4 | 31.00 |
70.744 | 265.385 | 71 | 72.8 | 52.9 | 30.30 |
72.429 | 247.197 | 74.2 | 66.3 | 44.3 | 30.24 |
72.560 | 268.932 | 64.1 | 66 | 37.3 | 30.36 |
73.680 | 244.840 | 65.9 | 61.8 | 48.6 | 30.16 |
73.647 | 242.119 | 69.7 | 60.1 | 58 | 28.43 |
74.171 | 238.900 | 80.5 | 61 | 52.5 | 30.51 |
73.067 | 243.111 | 75.7 | 65.4 | 36.4 | 30.51 |
71.687 | 244.191 | 80.1 | 72.5 | 38.6 | 30.51 |
73.583 | 246.917 | 74.4 | 64.6 | 18.2 | 30.83 |
72.171 | 248.756 | 74.2 | 69.4 | 30.8 | 30.49 |
70.302 | 258.200 | 73.3 | 71.7 | 39.7 | 29.25 |
71.719 | 249.953 | 74.9 | 69.7 | 35.7 | 29.77 |
72.972 | 251.646 | 67 | 64.9 | 46.3 | 29.71 |
71.571 | 251.135 | 72.8 | 66.2 | 54.8 | 29.25 |
72.632 | 257.567 | 64.4 | 66.6 | 35.7 | 30.24 |
75.429 | 247.286 | 60.8 | 57.9 | 37.8 | 30.79 |
72.900 | 262.900 | 67.5 | 65 | 35.4 | 30.45 |
73.885 | 249.538 | 69.2 | 63.5 | 32 | 30.65 |
75.217 | 236.545 | 73.5 | 52.4 | 40.5 | 29.48 |
72.060 | 243.096 | 75.4 | 68.4 | 50.9 | 30.03 |
70.308 | 242.145 | 83.5 | 73.7 | 59.4 | 29.51 |
72.093 | 264.573 | 71.3 | 76.1 | 26.3 | 31.41 |
72.772 | 253.491 | 66.8 | 66.3 | 28.8 | 30.47 |
74.605 | 231.919 | 75.6 | 60.1 | 37 | 30.79 |
73.188 | 243.750 | 71.8 | 64.1 | 45.5 | 29.91 |
71.506 | 255.141 | 72.9 | 70 | 31.6 | 29.78 |
73.017 | 257.898 | 64.3 | 67.2 | 29.8 | 30.57 |
73.043 | 250.413 | 69.4 | 66.8 | 31.9 | 30.53 |
73.897 | 245.026 | 49.9 | 59.4 | 45.9 | 30.00 |
71.568 | 271.973 | 69.2 | 72.5 | 45.3 | 30.98 |
71.122 | 266.986 | 58.5 | 68.8 | 41.7 | 29.53 |
71.850 | 246.392 | 72.8 | 66.7 | 43.6 | 30.00 |
72.034 | 258.814 | 69.7 | 67.7 | 46.3 | 30.06 |
72.592 | 258.282 | 63.8 | 67.3 | 44.3 | 30.15 |
73.271 | 248.500 | 67.7 | 66.7 | 43.2 | 31.05 |
71.192 | 259.000 | 73.8 | 72.3 | 38.9 | 30.18 |
73.485 | 268.589 | 53 | 66 | 39.7 | 31.16 |
72.211 | 241.909 | 76.5 | 66 | 57.9 | 29.75 |
71.040 | 258.046 | 69 | 70.7 | 42.9 | 29.71 |
71.659 | 256.667 | 74.2 | 75.2 | 53.6 | 30.98 |
73.829 | 252.324 | 67.5 | 61 | 41.1 | 30.26 |
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