Table 2.

OLS regression model on team success, S=α+β_MM+β_mm+β_WW+β_EE+ β_DD+β_LL+β_TT. Outliers (above the 99th percentile in S) were filtered out to ensure they do not skew the model.

variable x	coefficient ${\beta }_x^{\mathrm{a}}$	p-value
constant, α	1.351×10−14±0.004951	1
team size, M	0.0848±0.013963	<10−31
eff. team size, m	−0.0989±0.012140	<10−56
total work, W	0.0323±0.004997	<10−35
experience, E	0.0004068±0.004985	0.8729
diversity, D	0.04099±0.006357	<10−35
no. leads, L	0.1388±0.006921	0
age, T	0.1273±0.005014	0

^aVariables are standardized for comparison such that a coefficient β_x implies that increasing a variable x by one standard deviation σ_x corresponds to a β_xσ_S increase in S, holding other variables fixed.