I decided to test whether the negative correlation between DEX score and success rate is caused by the 60-point cutoff or if DEX really is counterproductive to success.
I bucketed the data by the sum of all trait scores except DEX and ran a linear regression for DEX score vs. binary success.
Non-DEX Sum
Bucket Size
Regression Slope
40
1
NA
41
1
NA
42
9
−31.8
43
18
0.0
44
29
13.6
45
49
2.83
46
86
3.18
47
102
2.92
48
162
−1.40
49
190
0.262
50
246
−0.785
51
287
−0.0950
52
327
0.124
53
341
0.770
54
381
0.506
55
414
−1.45
56
408
0.390
57
409
−0.0720
58
455
−0.158
59
420
−1.37
60
349
−0.958
61
349
0.271
62
299
0.341
63
282
0.193
64
280
−0.861
65
232
−1.23
66
207
0.894
67
178
0.186
68
159
−0.210
69
159
0.591
70
113
−1.37
71
98
0.919
72
92
−0.301
73
67
−1.12
74
45
0.236
75
33
−1.67
76
27
0.0474
77
19
0.0
78
18
0.0
79
20
1.29
80
7
2.74
81
5
−1.79
82
4
0.0
83
4
9.70
84
3
0.0
85
2
NA
86
1
NA
The high and low ends are obviously noisy due to small sample size, but the middle is pretty consistently neutral or slightly negative without any significant difference between low and high score totals.
I took at the average of the 50-65 range (to avoid the noise at the ends) and compared this to the same analysis for the other traits:
I decided to test whether the negative correlation between DEX score and success rate is caused by the 60-point cutoff or if DEX really is counterproductive to success.
I bucketed the data by the sum of all trait scores except DEX and ran a linear regression for DEX score vs. binary success.
The high and low ends are obviously noisy due to small sample size, but the middle is pretty consistently neutral or slightly negative without any significant difference between low and high score totals.
I took at the average of the 50-65 range (to avoid the noise at the ends) and compared this to the same analysis for the other traits: