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POLI 572B: Practice Data

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Feb 18th, 2021
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  1. data_1 = structure(list(x1 = c(10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5),
  2. x2 = c(10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5), x3 = c(10,
  3. 8, 13, 9, 11, 14, 6, 4, 12, 7, 5), x4 = c(8, 8, 8, 8, 8,
  4. 8, 8, 19, 8, 8, 8), y1 = c(8.04, 6.95, 7.58, 8.81, 8.33,
  5. 9.96, 7.24, 4.26, 10.84, 4.82, 5.68), y2 = c(9.14, 8.14,
  6. 8.74, 8.77, 9.26, 8.1, 6.13, 3.1, 9.13, 7.26, 4.74), y3 = c(7.46,
  7. 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73
  8. ), y4 = c(6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.5,
  9. 5.56, 7.91, 6.89)), class = "data.frame", row.names = c(NA,
  10. -11L))
  11.  
  12. data_2 = structure(list(enlistment = c(0.345, 0.268, 0.351, 0.292, 0.214,
  13. 0.257, 0.345, 0.301, 0.397, 0.343, 0.412, 0.3, 0.193, 0.376,
  14. 0.465, 0.236, 0.31, 0.342, 0.398, 0.284, 0.393, 0.299, 0.288,
  15. 0.371, 0.286, 0.334, 0.371, 0.31, 0.321, 0.259, 0.195, 0.409,
  16. 0.315, 0.392, 0.387, 0.327, 0.312, 0.317, 0.314, 0.269, 0.258,
  17. 0.331, 0.347, 0.333, 0.185, 0.32, 0.343, 0.413, 0.255, 0.227,
  18. 0.272, 0.265, 0.33, 0.309, 0.43, 0.299, 0.349, 0.421, 0.279,
  19. 0.313, 0.334, 0.342, 0.32, 0.219, 0.258, 0.195, 0.295, 0.293,
  20. 0.39, 0.28, 0.349, 0.254, 0.323, 0.232, 0.298, 0.348, 0.339,
  21. 0.343, 0.359, 0.338, 0.296, 0.445, 0.366, 0.369, 0.401, 0.355,
  22. 0.303, 0.294, 0.265, 0.331, 0.231, 0.398, 0.348, 0.402, 0.372,
  23. 0.365, 0.23, 0.278, 0.451, 0.413, 0.275, 0.37, 0.357, 0.29, 0.312,
  24. 0.303, 0.433, 0.203, 0.324, 0.275, 0.266, 0.394, 0.341, 0.369,
  25. 0.259, 0.266, 0.379, 0.326, 0.276, 0.271, 0.238, 0.341, 0.408,
  26. 0.293, 0.479, 0.313, 0.315, 0.472, 0.369, 0.228, 0.454, 0.258,
  27. 0.277, 0.286, 0.284, 0.31, 0.347, 0.507, 0.373, 0.365, 0.388,
  28. 0.257, 0.32, 0.327, 0.271, 0.367, 0.283, 0.292, 0.432, 0.336,
  29. 0.174, 0.327, 0.409, 0.293), gop_change = c(-0.151, -0.121, -0.086,
  30. -0.05, 0.021, -0.146, -0.141, 0.021, -0.1, -0.08, -0.009, -0.087,
  31. -0.05, -0.129, -0.15, -0.037, 0.008, -0.022, -0.055, -0.156,
  32. -0.024, -0.095, -0.099, -0.059, -0.187, -0.073, -0.097, -0.018,
  33. -0.15, 0.061, -0.03, -0.023, 0.029, -0.031, -0.021, -0.012, -0.059,
  34. -0.045, -0.102, 0.019, -0.111, -0.076, -0.096, -0.089, -0.1,
  35. -0.056, -0.093, -0.041, -0.034, -0.076, -0.051, -0.069, -0.088,
  36. -0.046, -0.054, -0.055, -0.094, -0.039, -0.007, -0.007, -0.032,
  37. 0.01, -0.039, -0.097, -0.229, -0.09, -0.183, -0.116, 0.003, -0.012,
  38. -0.111, -0.087, -0.071, -0.078, -0.06, -0.028, -0.046, 0.009,
  39. -0.129, -0.008, -0.069, -0.033, 0.013, -0.064, -0.034, -0.039,
  40. -0.027, -0.043, -0.021, -0.041, -0.175, -0.088, -0.04, -0.167,
  41. -0.038, -0.025, 0.064, -0.103, -0.036, -0.019, -0.034, -0.126,
  42. 0, -0.032, 0.052, 0.001, -0.037, -0.151, -0.052, -0.069, -0.078,
  43. -0.067, -0.039, 0.023, -0.079, -0.06, -0.057, -0.086, -0.014,
  44. -0.071, -0.05, 0.011, -0.007, -0.105, -0.021, -0.088, -0.075,
  45. -0.053, -0.02, -0.072, 0.011, -0.136, -0.069, -0.089, -0.051,
  46. -0.101, -0.044, 0.005, -0.074, -0.156, -0.019, -0.028, -0.077,
  47. -0.047, -0.059, -0.058, -0.131, -0.199, -0.09, -0.025, 0.04,
  48. -0.011, -0.05, -0.059)), class = "data.frame", row.names = c(NA,
  49. -154L))
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