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Table 14 WLS estimated LPM for predicting the probability of O-glycosylation given only sequence data

From: Ridge regression estimated linear probability model predictions of O-glycosylation in proteins with structural and sequence data

Variablea β |t| Variablea β |t|
intercept 0.1379 3.27 p1S 0.2446 5.33
m1C -0.2020 2.11 p1T 0.2268 4.48
m1F -0.1373 1.96 p2A 0.2120 4.44
m1P 0.4708 5.44 p2D 0.2029 2.73
m1T 0.1535 3.25 p2F -0.2292 2.43
m1V 0.1348 3.41 p2G 0.1706 3.01
m3F -0.1950 2.92 p2L -0.1342 2.64
m3L -0.1367 2.65 p2S 0.2068 4.69
m3P 0.1852 4 p3Q 0.1914 3.12
m3V 0.1103 2.3 p3S 0.1041 2.29
m4C -0.6595 4.9 p4A 0.2149 3.66
m4F -0.2551 4.1 p4G 0.2195 3.93
m4L -0.1180 2.28 p4S 0.1277 3.07
m4Q -0.2802 4.52 p4T 0.1867 3.81
m4V -0.2253 4.37 p5A 0.0934 1.77
m4Y -0.2037 3.03 p5C -0.3927 4.63
m5A 0.1224 2.28 p5L -0.1029 2.04
m5C -0.2515 2.6 p5N -0.3141 3.6
m5H -0.3195 3.45 p5W -0.7183 3.72
m5N -0.2492 2.9 p6C -0.3787 4.2
m5R 0.1419 2.57 p7A 0.1763 2.71
m5W -0.2752 1.96 p7C -0.2791 3.06
m5Y -0.1507 2.15 p7G 0.1366 2.5
m6R 0.1362 2.31 p7K 0.1578 2.73
m6Y -0.2011 2.49 p7T 0.1968 3.98
m7L -0.0910 1.86 p8F -0.1867 2.86
m7M -0.2490 2.83 p8S 0.1625 3.5
m7R 0.2907 4.38 pos 0.2406 4.35
m8A 0.1563 2.7  
m8K 0.1726 2.9
p1A 0.2092 3.78
p1G 0.1706 3.23
p1K 0.2524 3.37
p1P 0.4464 3.26
p1Q 0.1728 3.05
  1. a miα and piα are abbreviations for minus and plus, respectively. Note that the coefficient standard error is |β|÷|t|