Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-18.3978323445082
beta0.230581000465864
S.D.0.168251425608340
T-STAT1.37045495829924
p-value0.264086480333262


Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-10.4591316831038
beta2.58154412449226
S.D.1.10063139213247
T-STAT2.34551198788772
p-value0.100715613530585
Lambda-1.58154412449226